[2025-11-29T14:16:06.303Z] Running test renaissance-movie-lens_0 ... [2025-11-29T14:16:06.303Z] =============================================== [2025-11-29T14:16:06.303Z] renaissance-movie-lens_0 Start Time: Sat Nov 29 14:15:56 2025 Epoch Time (ms): 1764425756347 [2025-11-29T14:16:06.303Z] variation: NoOptions [2025-11-29T14:16:06.303Z] JVM_OPTIONS: [2025-11-29T14:16:06.303Z] { \ [2025-11-29T14:16:06.303Z] echo ""; echo "TEST SETUP:"; \ [2025-11-29T14:16:06.303Z] echo "Nothing to be done for setup."; \ [2025-11-29T14:16:06.303Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17644232375590/renaissance-movie-lens_0"; \ [2025-11-29T14:16:06.303Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17644232375590/renaissance-movie-lens_0"; \ [2025-11-29T14:16:06.303Z] echo ""; echo "TESTING:"; \ [2025-11-29T14:16:06.303Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17644232375590/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-29T14:16:06.303Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17644232375590/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-29T14:16:06.303Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-29T14:16:06.303Z] echo "Nothing to be done for teardown."; \ [2025-11-29T14:16:06.303Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17644232375590/TestTargetResult"; [2025-11-29T14:16:06.303Z] [2025-11-29T14:16:06.303Z] TEST SETUP: [2025-11-29T14:16:06.303Z] Nothing to be done for setup. [2025-11-29T14:16:06.303Z] [2025-11-29T14:16:06.303Z] TESTING: [2025-11-29T14:16:06.303Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-11-29T14:16:06.303Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17644232375590/renaissance-movie-lens_0/launcher-141556-7398328295743517996/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-11-29T14:16:06.303Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-11-29T14:16:06.303Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-11-29T14:16:06.303Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-29T14:16:09.521Z] 14:16:09.321 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. [2025-11-29T14:16:13.355Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-29T14:16:13.355Z] Training: 60056, validation: 20285, test: 19854 [2025-11-29T14:16:13.355Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-29T14:16:14.002Z] GC before operation: completed in 172.285 ms, heap usage 273.806 MB -> 75.403 MB. [2025-11-29T14:16:21.272Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:16:26.173Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:16:30.109Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:16:33.934Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:16:36.028Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:16:38.156Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:16:40.252Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:16:41.623Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:16:42.265Z] 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. [2025-11-29T14:16:42.265Z] The best model improves the baseline by 14.34%. [2025-11-29T14:16:42.265Z] Top recommended movies for user id 72: [2025-11-29T14:16:42.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:16:42.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:16:42.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:16:42.265Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:16:42.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:16:42.265Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28676.535 ms) ====== [2025-11-29T14:16:42.265Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-29T14:16:42.962Z] GC before operation: completed in 185.399 ms, heap usage 158.416 MB -> 94.503 MB. [2025-11-29T14:16:45.888Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:16:48.817Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:16:51.733Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:16:54.705Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:16:56.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:16:57.384Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:16:59.120Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:17:01.207Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:17:01.207Z] 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. [2025-11-29T14:17:01.207Z] The best model improves the baseline by 14.34%. [2025-11-29T14:17:01.207Z] Top recommended movies for user id 72: [2025-11-29T14:17:01.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:17:01.207Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:17:01.207Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:17:01.207Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:17:01.207Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:17:01.207Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18902.087 ms) ====== [2025-11-29T14:17:01.207Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-29T14:17:01.858Z] GC before operation: completed in 171.249 ms, heap usage 261.488 MB -> 87.571 MB. [2025-11-29T14:17:04.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:17:06.977Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:17:09.906Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:17:12.859Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:17:14.214Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:17:16.298Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:17:18.384Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:17:19.738Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:17:19.738Z] 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. [2025-11-29T14:17:20.385Z] The best model improves the baseline by 14.34%. [2025-11-29T14:17:20.385Z] Top recommended movies for user id 72: [2025-11-29T14:17:20.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:17:20.385Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:17:20.385Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:17:20.385Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:17:20.385Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:17:20.385Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18578.694 ms) ====== [2025-11-29T14:17:20.385Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-29T14:17:20.385Z] GC before operation: completed in 156.395 ms, heap usage 240.008 MB -> 88.132 MB. [2025-11-29T14:17:23.322Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:17:25.419Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:17:28.336Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:17:31.283Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:17:32.624Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:17:33.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:17:36.067Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:17:37.408Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:17:37.408Z] 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. [2025-11-29T14:17:37.408Z] The best model improves the baseline by 14.34%. [2025-11-29T14:17:37.408Z] Top recommended movies for user id 72: [2025-11-29T14:17:37.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:17:37.408Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:17:37.408Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:17:37.408Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:17:37.408Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:17:37.408Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17246.553 ms) ====== [2025-11-29T14:17:37.408Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-29T14:17:38.053Z] GC before operation: completed in 164.897 ms, heap usage 149.074 MB -> 88.260 MB. [2025-11-29T14:17:41.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:17:43.125Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:17:46.058Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:17:48.164Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:17:49.668Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:17:51.775Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:17:53.113Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:17:54.468Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:17:54.468Z] 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. [2025-11-29T14:17:54.468Z] The best model improves the baseline by 14.34%. [2025-11-29T14:17:55.111Z] Top recommended movies for user id 72: [2025-11-29T14:17:55.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:17:55.111Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:17:55.111Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:17:55.111Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:17:55.111Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:17:55.111Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17119.036 ms) ====== [2025-11-29T14:17:55.111Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-29T14:17:55.111Z] GC before operation: completed in 167.619 ms, heap usage 246.129 MB -> 88.464 MB. [2025-11-29T14:17:58.036Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:18:00.129Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:18:03.043Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:18:05.150Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:18:07.257Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:18:08.628Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:18:10.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:18:12.060Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:18:12.060Z] 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. [2025-11-29T14:18:12.060Z] The best model improves the baseline by 14.34%. [2025-11-29T14:18:12.060Z] Top recommended movies for user id 72: [2025-11-29T14:18:12.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:18:12.060Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:18:12.060Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:18:12.060Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:18:12.060Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:18:12.060Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17118.135 ms) ====== [2025-11-29T14:18:12.060Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-29T14:18:12.701Z] GC before operation: completed in 151.861 ms, heap usage 170.301 MB -> 93.328 MB. [2025-11-29T14:18:14.791Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:18:17.705Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:18:19.811Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:18:22.728Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:18:24.064Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:18:26.157Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:18:27.498Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:18:28.840Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:18:29.500Z] 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. [2025-11-29T14:18:29.500Z] The best model improves the baseline by 14.34%. [2025-11-29T14:18:29.500Z] Top recommended movies for user id 72: [2025-11-29T14:18:29.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:18:29.500Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:18:29.500Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:18:29.500Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:18:29.500Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:18:29.500Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17100.854 ms) ====== [2025-11-29T14:18:29.500Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-29T14:18:29.500Z] GC before operation: completed in 162.936 ms, heap usage 304.782 MB -> 88.858 MB. [2025-11-29T14:18:32.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:18:34.521Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:18:37.464Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:18:39.204Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:18:41.311Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:18:42.655Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:18:43.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:18:45.331Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:18:45.976Z] 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. [2025-11-29T14:18:45.976Z] The best model improves the baseline by 14.34%. [2025-11-29T14:18:45.976Z] Top recommended movies for user id 72: [2025-11-29T14:18:45.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:18:45.976Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:18:45.976Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:18:45.976Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:18:45.976Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:18:45.976Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16499.921 ms) ====== [2025-11-29T14:18:45.976Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-29T14:18:46.687Z] GC before operation: completed in 149.531 ms, heap usage 231.601 MB -> 88.991 MB. [2025-11-29T14:18:51.458Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:18:51.458Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:18:53.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:18:56.483Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:18:58.570Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:18:59.910Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:19:01.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:19:03.332Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:19:03.981Z] 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. [2025-11-29T14:19:03.981Z] The best model improves the baseline by 14.34%. [2025-11-29T14:19:03.981Z] Top recommended movies for user id 72: [2025-11-29T14:19:03.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:19:03.981Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:19:03.981Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:19:03.981Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:19:03.981Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:19:03.981Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17666.654 ms) ====== [2025-11-29T14:19:03.981Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-29T14:19:03.981Z] GC before operation: completed in 144.395 ms, heap usage 293.421 MB -> 88.946 MB. [2025-11-29T14:19:06.991Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:19:09.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:19:12.084Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:19:14.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:19:15.671Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:19:17.019Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:19:19.165Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:19:20.537Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:19:20.537Z] 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. [2025-11-29T14:19:20.537Z] The best model improves the baseline by 14.34%. [2025-11-29T14:19:21.182Z] Top recommended movies for user id 72: [2025-11-29T14:19:21.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:19:21.182Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:19:21.182Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:19:21.182Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:19:21.182Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:19:21.182Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16785.707 ms) ====== [2025-11-29T14:19:21.182Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-29T14:19:21.182Z] GC before operation: completed in 146.188 ms, heap usage 140.512 MB -> 91.047 MB. [2025-11-29T14:19:23.303Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:19:26.631Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:19:28.745Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:19:30.846Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:19:32.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:19:35.344Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:19:35.344Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:19:36.677Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:19:37.321Z] 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. [2025-11-29T14:19:37.321Z] The best model improves the baseline by 14.34%. [2025-11-29T14:19:37.321Z] Top recommended movies for user id 72: [2025-11-29T14:19:37.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:19:37.321Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:19:37.321Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:19:37.321Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:19:37.321Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:19:37.321Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16260.914 ms) ====== [2025-11-29T14:19:37.321Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-29T14:19:37.321Z] GC before operation: completed in 145.934 ms, heap usage 180.122 MB -> 88.714 MB. [2025-11-29T14:19:40.242Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:19:42.336Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:19:46.671Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:19:46.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:19:48.770Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:19:50.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:19:51.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:19:52.771Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:19:52.771Z] 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. [2025-11-29T14:19:52.771Z] The best model improves the baseline by 14.34%. [2025-11-29T14:19:55.666Z] Top recommended movies for user id 72: [2025-11-29T14:19:55.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:19:55.666Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:19:55.666Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:19:55.666Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:19:55.666Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:19:55.666Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15623.428 ms) ====== [2025-11-29T14:19:55.666Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-29T14:19:55.666Z] GC before operation: completed in 147.780 ms, heap usage 227.356 MB -> 88.977 MB. [2025-11-29T14:19:55.666Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:19:57.768Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:20:00.688Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:20:02.807Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:20:04.153Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:20:06.253Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:20:07.609Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:20:08.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:20:08.953Z] 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. [2025-11-29T14:20:08.953Z] The best model improves the baseline by 14.34%. [2025-11-29T14:20:09.606Z] Top recommended movies for user id 72: [2025-11-29T14:20:09.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:20:09.606Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:20:09.606Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:20:09.606Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:20:09.606Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:20:09.606Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16136.448 ms) ====== [2025-11-29T14:20:09.606Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-29T14:20:09.606Z] GC before operation: completed in 148.014 ms, heap usage 174.661 MB -> 88.898 MB. [2025-11-29T14:20:13.075Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:20:14.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:20:17.325Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:20:19.439Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:20:20.778Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:20:22.114Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:20:23.450Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:20:24.799Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:20:24.799Z] 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. [2025-11-29T14:20:24.799Z] The best model improves the baseline by 14.34%. [2025-11-29T14:20:25.439Z] Top recommended movies for user id 72: [2025-11-29T14:20:25.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:20:25.439Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:20:25.439Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:20:25.439Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:20:25.439Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:20:25.439Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15697.982 ms) ====== [2025-11-29T14:20:25.439Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-29T14:20:25.439Z] GC before operation: completed in 143.088 ms, heap usage 142.156 MB -> 88.805 MB. [2025-11-29T14:20:27.940Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:20:30.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:20:35.059Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:20:35.059Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:20:36.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:20:37.734Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:20:39.073Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:20:40.411Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:20:40.411Z] 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. [2025-11-29T14:20:40.411Z] The best model improves the baseline by 14.34%. [2025-11-29T14:20:41.055Z] Top recommended movies for user id 72: [2025-11-29T14:20:41.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:20:41.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:20:41.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:20:41.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:20:41.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:20:41.055Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15477.132 ms) ====== [2025-11-29T14:20:41.055Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-29T14:20:41.055Z] GC before operation: completed in 143.582 ms, heap usage 174.896 MB -> 89.065 MB. [2025-11-29T14:20:45.370Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:20:45.370Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:20:48.290Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:20:50.372Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:20:51.706Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:20:55.228Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:20:55.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:20:55.877Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:20:55.877Z] 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. [2025-11-29T14:20:55.877Z] The best model improves the baseline by 14.34%. [2025-11-29T14:20:56.522Z] Top recommended movies for user id 72: [2025-11-29T14:20:56.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:20:56.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:20:56.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:20:56.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:20:56.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:20:56.522Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15283.619 ms) ====== [2025-11-29T14:20:56.522Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-29T14:20:56.522Z] GC before operation: completed in 147.502 ms, heap usage 150.316 MB -> 88.878 MB. [2025-11-29T14:20:59.434Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:21:01.521Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:21:05.099Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:21:06.529Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:21:07.882Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:21:09.233Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:21:10.568Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:21:11.913Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:21:11.913Z] 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. [2025-11-29T14:21:11.913Z] The best model improves the baseline by 14.34%. [2025-11-29T14:21:12.555Z] Top recommended movies for user id 72: [2025-11-29T14:21:12.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:21:12.555Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:21:12.555Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:21:12.555Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:21:12.555Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:21:12.555Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15879.403 ms) ====== [2025-11-29T14:21:12.555Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-29T14:21:12.555Z] GC before operation: completed in 144.993 ms, heap usage 112.220 MB -> 88.821 MB. [2025-11-29T14:21:14.664Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:21:17.603Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:21:19.685Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:21:21.778Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:21:23.584Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:21:24.229Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:21:26.317Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:21:26.978Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:21:27.625Z] 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. [2025-11-29T14:21:27.625Z] The best model improves the baseline by 14.34%. [2025-11-29T14:21:27.625Z] Top recommended movies for user id 72: [2025-11-29T14:21:27.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:21:27.625Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:21:27.625Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:21:27.625Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:21:27.625Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:21:27.625Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15260.684 ms) ====== [2025-11-29T14:21:27.625Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-29T14:21:27.625Z] GC before operation: completed in 145.357 ms, heap usage 160.249 MB -> 88.794 MB. [2025-11-29T14:21:30.554Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:21:35.019Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:21:35.019Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:21:37.108Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:21:38.447Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:21:39.802Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:21:41.142Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:21:42.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:21:45.228Z] 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. [2025-11-29T14:21:45.228Z] The best model improves the baseline by 14.34%. [2025-11-29T14:21:45.228Z] Top recommended movies for user id 72: [2025-11-29T14:21:45.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:21:45.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:21:45.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:21:45.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:21:45.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:21:45.228Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15264.307 ms) ====== [2025-11-29T14:21:45.228Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-29T14:21:45.228Z] GC before operation: completed in 146.145 ms, heap usage 178.702 MB -> 88.905 MB. [2025-11-29T14:21:45.873Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T14:21:47.958Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T14:21:50.044Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T14:21:52.147Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T14:21:55.042Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T14:21:55.042Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T14:21:56.379Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T14:21:57.726Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T14:21:58.372Z] 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. [2025-11-29T14:21:58.372Z] The best model improves the baseline by 14.34%. [2025-11-29T14:21:58.372Z] Top recommended movies for user id 72: [2025-11-29T14:21:58.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T14:21:58.372Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T14:21:58.372Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T14:21:58.372Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T14:21:58.372Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T14:21:58.372Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15057.044 ms) ====== [2025-11-29T14:22:01.243Z] ----------------------------------- [2025-11-29T14:22:01.243Z] renaissance-movie-lens_0_PASSED [2025-11-29T14:22:01.243Z] ----------------------------------- [2025-11-29T14:22:01.243Z] [2025-11-29T14:22:01.243Z] TEST TEARDOWN: [2025-11-29T14:22:01.243Z] Nothing to be done for teardown. [2025-11-29T14:22:01.243Z] renaissance-movie-lens_0 Finish Time: Sat Nov 29 14:21:58 2025 Epoch Time (ms): 1764426118404