[2025-06-27T01:38:06.601Z] Running test renaissance-movie-lens_0 ... [2025-06-27T01:38:06.601Z] =============================================== [2025-06-27T01:38:06.601Z] renaissance-movie-lens_0 Start Time: Fri Jun 27 01:38:03 2025 Epoch Time (ms): 1750988283806 [2025-06-27T01:38:06.601Z] variation: NoOptions [2025-06-27T01:38:06.601Z] JVM_OPTIONS: [2025-06-27T01:38:06.601Z] { \ [2025-06-27T01:38:06.601Z] echo ""; echo "TEST SETUP:"; \ [2025-06-27T01:38:06.601Z] echo "Nothing to be done for setup."; \ [2025-06-27T01:38:06.601Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17509863158443/renaissance-movie-lens_0"; \ [2025-06-27T01:38:06.601Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17509863158443/renaissance-movie-lens_0"; \ [2025-06-27T01:38:06.601Z] echo ""; echo "TESTING:"; \ [2025-06-27T01:38:06.601Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17509863158443/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-27T01:38:06.601Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17509863158443/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-27T01:38:06.601Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-27T01:38:06.601Z] echo "Nothing to be done for teardown."; \ [2025-06-27T01:38:06.601Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17509863158443/TestTargetResult"; [2025-06-27T01:38:06.601Z] [2025-06-27T01:38:06.601Z] TEST SETUP: [2025-06-27T01:38:06.601Z] Nothing to be done for setup. [2025-06-27T01:38:06.601Z] [2025-06-27T01:38:06.601Z] TESTING: [2025-06-27T01:38:06.601Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-27T01:38:06.601Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17509863158443/renaissance-movie-lens_0/launcher-013804-747493997862112167/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-27T01:38:06.601Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-27T01:38:06.601Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-27T01:38:14.363Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-27T01:38:28.693Z] 01:38:26.643 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-27T01:38:32.495Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-27T01:38:34.234Z] Training: 60056, validation: 20285, test: 19854 [2025-06-27T01:38:34.234Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-27T01:38:34.234Z] GC before operation: completed in 302.012 ms, heap usage 228.042 MB -> 75.501 MB. [2025-06-27T01:38:48.694Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:38:54.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:39:00.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:39:04.348Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:39:06.994Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:39:09.235Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:39:11.894Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:39:14.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:39:14.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:39:15.314Z] The best model improves the baseline by 14.34%. [2025-06-27T01:39:15.314Z] Top recommended movies for user id 72: [2025-06-27T01:39:15.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:39:15.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:39:15.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:39:15.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:39:15.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:39:15.314Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41277.148 ms) ====== [2025-06-27T01:39:15.314Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-27T01:39:15.314Z] GC before operation: completed in 306.742 ms, heap usage 613.271 MB -> 91.988 MB. [2025-06-27T01:39:20.074Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:39:23.673Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:39:27.270Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:39:29.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:39:31.572Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:39:33.261Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:39:35.909Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:39:37.634Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:39:37.634Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:39:37.634Z] The best model improves the baseline by 14.34%. [2025-06-27T01:39:38.451Z] Top recommended movies for user id 72: [2025-06-27T01:39:38.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:39:38.451Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:39:38.451Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:39:38.451Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:39:38.451Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:39:38.451Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22503.463 ms) ====== [2025-06-27T01:39:38.451Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-27T01:39:38.451Z] GC before operation: completed in 193.470 ms, heap usage 367.390 MB -> 87.759 MB. [2025-06-27T01:39:42.061Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:39:44.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:39:48.274Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:39:51.933Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:39:54.730Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:39:56.420Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:39:59.076Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:40:00.760Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:40:01.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:40:01.595Z] The best model improves the baseline by 14.34%. [2025-06-27T01:40:01.595Z] Top recommended movies for user id 72: [2025-06-27T01:40:01.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:40:01.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:40:01.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:40:01.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:40:01.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:40:01.595Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23154.612 ms) ====== [2025-06-27T01:40:01.595Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-27T01:40:01.595Z] GC before operation: completed in 205.483 ms, heap usage 182.401 MB -> 88.031 MB. [2025-06-27T01:40:05.245Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:40:07.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:40:11.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:40:14.075Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:40:16.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:40:18.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:40:20.193Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:40:22.790Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:40:22.790Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:40:22.790Z] The best model improves the baseline by 14.34%. [2025-06-27T01:40:22.790Z] Top recommended movies for user id 72: [2025-06-27T01:40:22.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:40:22.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:40:22.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:40:22.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:40:22.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:40:22.790Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21485.706 ms) ====== [2025-06-27T01:40:22.790Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-27T01:40:23.603Z] GC before operation: completed in 199.877 ms, heap usage 239.408 MB -> 88.421 MB. [2025-06-27T01:40:27.288Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:40:29.892Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:40:33.491Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:40:36.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:40:37.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:40:40.056Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:40:41.737Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:40:43.416Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:40:43.416Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:40:44.227Z] The best model improves the baseline by 14.34%. [2025-06-27T01:40:44.227Z] Top recommended movies for user id 72: [2025-06-27T01:40:44.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:40:44.227Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:40:44.227Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:40:44.227Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:40:44.227Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:40:44.227Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20624.005 ms) ====== [2025-06-27T01:40:44.227Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-27T01:40:44.227Z] GC before operation: completed in 188.204 ms, heap usage 312.943 MB -> 88.550 MB. [2025-06-27T01:40:47.827Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:40:50.461Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:40:53.070Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:40:55.693Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:40:57.377Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:40:59.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:41:01.659Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:41:03.357Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:41:03.357Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:41:03.357Z] The best model improves the baseline by 14.34%. [2025-06-27T01:41:03.357Z] Top recommended movies for user id 72: [2025-06-27T01:41:03.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:41:03.357Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:41:03.357Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:41:03.357Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:41:03.357Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:41:03.357Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19293.892 ms) ====== [2025-06-27T01:41:03.357Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-27T01:41:03.357Z] GC before operation: completed in 180.483 ms, heap usage 219.196 MB -> 88.812 MB. [2025-06-27T01:41:06.952Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:41:09.549Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:41:12.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:41:15.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:41:17.468Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:41:19.150Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:41:20.824Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:41:22.515Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:41:22.515Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:41:22.515Z] The best model improves the baseline by 14.34%. [2025-06-27T01:41:22.515Z] Top recommended movies for user id 72: [2025-06-27T01:41:22.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:41:22.515Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:41:22.515Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:41:22.515Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:41:22.515Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:41:22.515Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19138.532 ms) ====== [2025-06-27T01:41:22.515Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-27T01:41:23.336Z] GC before operation: completed in 185.422 ms, heap usage 417.534 MB -> 89.120 MB. [2025-06-27T01:41:25.948Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:41:28.204Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:41:31.869Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:41:33.555Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:41:35.238Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:41:36.915Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:41:38.631Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:41:41.234Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:41:41.234Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:41:41.234Z] The best model improves the baseline by 14.34%. [2025-06-27T01:41:41.234Z] Top recommended movies for user id 72: [2025-06-27T01:41:41.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:41:41.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:41:41.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:41:41.234Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:41:41.234Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:41:41.234Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18567.960 ms) ====== [2025-06-27T01:41:41.234Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-27T01:41:42.050Z] GC before operation: completed in 175.388 ms, heap usage 235.184 MB -> 89.012 MB. [2025-06-27T01:41:45.693Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:41:48.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:41:51.952Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:41:54.565Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:41:55.380Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:41:57.056Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:41:58.732Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:42:00.416Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:42:01.231Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:42:01.231Z] The best model improves the baseline by 14.34%. [2025-06-27T01:42:01.231Z] Top recommended movies for user id 72: [2025-06-27T01:42:01.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:42:01.231Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:42:01.231Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:42:01.231Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:42:01.231Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:42:01.231Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19388.297 ms) ====== [2025-06-27T01:42:01.231Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-27T01:42:01.231Z] GC before operation: completed in 213.321 ms, heap usage 147.178 MB -> 88.721 MB. [2025-06-27T01:42:03.832Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:42:06.438Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:42:10.593Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:42:12.271Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:42:13.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:42:14.771Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:42:16.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:42:18.161Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:42:18.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:42:18.975Z] The best model improves the baseline by 14.34%. [2025-06-27T01:42:18.975Z] Top recommended movies for user id 72: [2025-06-27T01:42:18.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:42:18.975Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:42:18.975Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:42:18.975Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:42:18.975Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:42:18.975Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17556.815 ms) ====== [2025-06-27T01:42:18.975Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-27T01:42:18.975Z] GC before operation: completed in 174.577 ms, heap usage 604.586 MB -> 92.796 MB. [2025-06-27T01:42:22.594Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:42:25.195Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:42:27.818Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:42:30.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:42:32.103Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:42:33.794Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:42:36.410Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:42:38.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:42:38.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:42:38.096Z] The best model improves the baseline by 14.34%. [2025-06-27T01:42:38.096Z] Top recommended movies for user id 72: [2025-06-27T01:42:38.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:42:38.096Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:42:38.096Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:42:38.096Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:42:38.096Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:42:38.096Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19055.728 ms) ====== [2025-06-27T01:42:38.096Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-27T01:42:38.096Z] GC before operation: completed in 165.895 ms, heap usage 179.899 MB -> 88.777 MB. [2025-06-27T01:42:41.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:42:44.380Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:42:46.989Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:42:49.636Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:42:51.334Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:42:53.948Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:42:56.236Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:42:57.051Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:42:57.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:42:57.051Z] The best model improves the baseline by 14.34%. [2025-06-27T01:42:57.869Z] Top recommended movies for user id 72: [2025-06-27T01:42:57.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:42:57.869Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:42:57.869Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:42:57.869Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:42:57.869Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:42:57.869Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19161.909 ms) ====== [2025-06-27T01:42:57.869Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-27T01:42:57.869Z] GC before operation: completed in 172.124 ms, heap usage 155.803 MB -> 88.897 MB. [2025-06-27T01:43:00.490Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:43:03.163Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:43:06.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:43:10.399Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:43:12.096Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:43:14.700Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:43:16.378Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:43:18.058Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:43:18.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:43:18.058Z] The best model improves the baseline by 14.34%. [2025-06-27T01:43:18.872Z] Top recommended movies for user id 72: [2025-06-27T01:43:18.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:43:18.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:43:18.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:43:18.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:43:18.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:43:18.872Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20864.698 ms) ====== [2025-06-27T01:43:18.872Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-27T01:43:18.872Z] GC before operation: completed in 142.533 ms, heap usage 252.627 MB -> 89.192 MB. [2025-06-27T01:43:21.494Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:43:25.110Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:43:27.790Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:43:30.417Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:43:31.231Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:43:32.907Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:43:34.585Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:43:36.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:43:36.263Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:43:36.263Z] The best model improves the baseline by 14.34%. [2025-06-27T01:43:37.079Z] Top recommended movies for user id 72: [2025-06-27T01:43:37.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:43:37.079Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:43:37.079Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:43:37.079Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:43:37.079Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:43:37.079Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18096.093 ms) ====== [2025-06-27T01:43:37.079Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-27T01:43:37.079Z] GC before operation: completed in 169.204 ms, heap usage 599.053 MB -> 92.720 MB. [2025-06-27T01:43:39.682Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:43:42.839Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:43:45.437Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:43:48.040Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:43:49.721Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:43:50.538Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:43:52.215Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:43:53.899Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:43:53.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:43:53.899Z] The best model improves the baseline by 14.34%. [2025-06-27T01:43:54.711Z] Top recommended movies for user id 72: [2025-06-27T01:43:54.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:43:54.711Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:43:54.711Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:43:54.711Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:43:54.711Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:43:54.711Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17514.077 ms) ====== [2025-06-27T01:43:54.711Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-27T01:43:54.711Z] GC before operation: completed in 160.812 ms, heap usage 221.226 MB -> 89.083 MB. [2025-06-27T01:43:57.320Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:43:59.939Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:44:02.573Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:44:05.175Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:44:06.878Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:44:08.558Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:44:10.275Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:44:11.952Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:44:11.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:44:11.952Z] The best model improves the baseline by 14.34%. [2025-06-27T01:44:11.952Z] Top recommended movies for user id 72: [2025-06-27T01:44:11.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:44:11.952Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:44:11.952Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:44:11.952Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:44:11.952Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:44:11.952Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17495.586 ms) ====== [2025-06-27T01:44:11.952Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-27T01:44:11.952Z] GC before operation: completed in 162.402 ms, heap usage 569.942 MB -> 92.809 MB. [2025-06-27T01:44:15.546Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:44:18.195Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:44:20.801Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:44:23.478Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:44:25.153Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:44:27.399Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:44:28.238Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:44:31.565Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:44:31.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:44:31.565Z] The best model improves the baseline by 14.34%. [2025-06-27T01:44:31.565Z] Top recommended movies for user id 72: [2025-06-27T01:44:31.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:44:31.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:44:31.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:44:31.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:44:31.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:44:31.565Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17916.628 ms) ====== [2025-06-27T01:44:31.565Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-27T01:44:31.565Z] GC before operation: completed in 173.385 ms, heap usage 413.989 MB -> 89.383 MB. [2025-06-27T01:44:33.242Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:44:35.848Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:44:38.451Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:44:41.061Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:44:42.746Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:44:44.430Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:44:46.113Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:44:47.794Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:44:47.794Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:44:47.794Z] The best model improves the baseline by 14.34%. [2025-06-27T01:44:47.794Z] Top recommended movies for user id 72: [2025-06-27T01:44:47.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:44:47.794Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:44:47.794Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:44:47.794Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:44:47.794Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:44:47.794Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17577.306 ms) ====== [2025-06-27T01:44:47.794Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-27T01:44:47.794Z] GC before operation: completed in 156.775 ms, heap usage 149.199 MB -> 88.929 MB. [2025-06-27T01:44:51.390Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:44:54.019Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:44:56.621Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:44:58.308Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:44:59.993Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:45:02.280Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:45:03.092Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:45:04.767Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:45:05.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:45:05.584Z] The best model improves the baseline by 14.34%. [2025-06-27T01:45:05.584Z] Top recommended movies for user id 72: [2025-06-27T01:45:05.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:45:05.584Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:45:05.584Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:45:05.584Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:45:05.584Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:45:05.584Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17271.088 ms) ====== [2025-06-27T01:45:05.584Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-27T01:45:05.584Z] GC before operation: completed in 164.314 ms, heap usage 599.474 MB -> 92.918 MB. [2025-06-27T01:45:08.194Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T01:45:10.794Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T01:45:13.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T01:45:16.101Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T01:45:17.784Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T01:45:19.460Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T01:45:21.281Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T01:45:22.993Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T01:45:22.993Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-27T01:45:22.993Z] The best model improves the baseline by 14.34%. [2025-06-27T01:45:22.993Z] Top recommended movies for user id 72: [2025-06-27T01:45:22.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-27T01:45:22.993Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-27T01:45:22.993Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-27T01:45:22.993Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-27T01:45:22.993Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-27T01:45:22.993Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17424.914 ms) ====== [2025-06-27T01:45:23.806Z] ----------------------------------- [2025-06-27T01:45:23.806Z] renaissance-movie-lens_0_PASSED [2025-06-27T01:45:23.806Z] ----------------------------------- [2025-06-27T01:45:23.806Z] [2025-06-27T01:45:23.806Z] TEST TEARDOWN: [2025-06-27T01:45:23.806Z] Nothing to be done for teardown. [2025-06-27T01:45:23.806Z] renaissance-movie-lens_0 Finish Time: Fri Jun 27 01:45:23 2025 Epoch Time (ms): 1750988723417