[2025-06-28T01:42:03.663Z] Running test renaissance-movie-lens_0 ... [2025-06-28T01:42:03.663Z] =============================================== [2025-06-28T01:42:03.663Z] renaissance-movie-lens_0 Start Time: Sat Jun 28 01:42:03 2025 Epoch Time (ms): 1751074923401 [2025-06-28T01:42:03.663Z] variation: NoOptions [2025-06-28T01:42:03.663Z] JVM_OPTIONS: [2025-06-28T01:42:03.663Z] { \ [2025-06-28T01:42:03.663Z] echo ""; echo "TEST SETUP:"; \ [2025-06-28T01:42:03.663Z] echo "Nothing to be done for setup."; \ [2025-06-28T01:42:03.663Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17510728941422/renaissance-movie-lens_0"; \ [2025-06-28T01:42:03.663Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17510728941422/renaissance-movie-lens_0"; \ [2025-06-28T01:42:03.663Z] echo ""; echo "TESTING:"; \ [2025-06-28T01:42:03.663Z] "/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_17510728941422/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-28T01:42:03.663Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17510728941422/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-28T01:42:03.663Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-28T01:42:03.663Z] echo "Nothing to be done for teardown."; \ [2025-06-28T01:42:03.663Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17510728941422/TestTargetResult"; [2025-06-28T01:42:03.663Z] [2025-06-28T01:42:03.663Z] TEST SETUP: [2025-06-28T01:42:03.663Z] Nothing to be done for setup. [2025-06-28T01:42:03.663Z] [2025-06-28T01:42:03.663Z] TESTING: [2025-06-28T01:42:03.984Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-28T01:42:03.985Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17510728941422/renaissance-movie-lens_0/launcher-014203-1023604408222294827/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-28T01:42:03.985Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-28T01:42:03.985Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-28T01:42:09.862Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-28T01:42:18.686Z] 01:42:17.226 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-28T01:42:20.916Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-28T01:42:21.613Z] Training: 60056, validation: 20285, test: 19854 [2025-06-28T01:42:21.613Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-28T01:42:21.613Z] GC before operation: completed in 188.549 ms, heap usage 330.799 MB -> 75.325 MB. [2025-06-28T01:42:32.361Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:42:37.059Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:42:42.997Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:42:46.756Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:42:49.014Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:42:51.929Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:42:54.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:42:55.782Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:42:56.103Z] 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. [2025-06-28T01:42:56.103Z] The best model improves the baseline by 14.34%. [2025-06-28T01:42:56.427Z] Top recommended movies for user id 72: [2025-06-28T01:42:56.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:42:56.427Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:42:56.427Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:42:56.427Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:42:56.427Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:42:56.427Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34637.805 ms) ====== [2025-06-28T01:42:56.427Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-28T01:42:56.427Z] GC before operation: completed in 207.046 ms, heap usage 250.339 MB -> 94.475 MB. [2025-06-28T01:43:00.196Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:43:03.932Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:43:06.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:43:09.831Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:43:11.465Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:43:13.685Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:43:15.316Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:43:17.560Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:43:17.560Z] 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. [2025-06-28T01:43:17.560Z] The best model improves the baseline by 14.34%. [2025-06-28T01:43:17.884Z] Top recommended movies for user id 72: [2025-06-28T01:43:17.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:43:17.884Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:43:17.884Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:43:17.884Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:43:17.884Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:43:17.884Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21207.632 ms) ====== [2025-06-28T01:43:17.884Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-28T01:43:17.884Z] GC before operation: completed in 200.617 ms, heap usage 150.608 MB -> 87.301 MB. [2025-06-28T01:43:21.626Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:43:24.582Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:43:27.504Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:43:30.433Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:43:32.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:43:33.868Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:43:36.786Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:43:37.946Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:43:38.641Z] 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. [2025-06-28T01:43:38.641Z] The best model improves the baseline by 14.34%. [2025-06-28T01:43:38.641Z] Top recommended movies for user id 72: [2025-06-28T01:43:38.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:43:38.641Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:43:38.641Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:43:38.641Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:43:38.641Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:43:38.641Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20677.418 ms) ====== [2025-06-28T01:43:38.641Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-28T01:43:38.964Z] GC before operation: completed in 190.275 ms, heap usage 141.020 MB -> 88.068 MB. [2025-06-28T01:43:41.937Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:43:44.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:43:47.845Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:43:50.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:43:52.432Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:43:54.075Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:43:55.710Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:43:57.947Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:43:57.947Z] 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. [2025-06-28T01:43:57.947Z] The best model improves the baseline by 14.34%. [2025-06-28T01:43:57.947Z] Top recommended movies for user id 72: [2025-06-28T01:43:57.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:43:57.947Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:43:57.947Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:43:57.947Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:43:57.947Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:43:57.947Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19221.414 ms) ====== [2025-06-28T01:43:57.947Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-28T01:43:58.271Z] GC before operation: completed in 193.747 ms, heap usage 656.062 MB -> 92.552 MB. [2025-06-28T01:44:02.958Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:44:04.589Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:44:07.505Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:44:10.424Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:44:12.058Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:44:13.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:44:15.908Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:44:17.538Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:44:17.538Z] 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. [2025-06-28T01:44:17.538Z] The best model improves the baseline by 14.34%. [2025-06-28T01:44:17.861Z] Top recommended movies for user id 72: [2025-06-28T01:44:17.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:44:17.862Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:44:17.862Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:44:17.862Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:44:17.862Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:44:17.862Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19538.625 ms) ====== [2025-06-28T01:44:17.862Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-28T01:44:17.862Z] GC before operation: completed in 185.303 ms, heap usage 357.277 MB -> 88.567 MB. [2025-06-28T01:44:20.778Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:44:24.504Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:44:26.794Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:44:29.702Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:44:31.382Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:44:33.013Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:44:34.656Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:44:36.882Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:44:36.882Z] 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. [2025-06-28T01:44:36.882Z] The best model improves the baseline by 14.34%. [2025-06-28T01:44:37.205Z] Top recommended movies for user id 72: [2025-06-28T01:44:37.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:44:37.205Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:44:37.205Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:44:37.205Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:44:37.205Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:44:37.205Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19180.404 ms) ====== [2025-06-28T01:44:37.205Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-28T01:44:37.205Z] GC before operation: completed in 177.449 ms, heap usage 213.193 MB -> 88.618 MB. [2025-06-28T01:44:40.130Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:44:43.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:44:47.589Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:44:50.601Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:44:52.819Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:44:54.449Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:44:56.667Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:44:58.300Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:44:58.625Z] 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. [2025-06-28T01:44:58.625Z] The best model improves the baseline by 14.34%. [2025-06-28T01:44:58.949Z] Top recommended movies for user id 72: [2025-06-28T01:44:58.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:44:58.949Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:44:58.949Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:44:58.949Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:44:58.949Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:44:58.949Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21530.524 ms) ====== [2025-06-28T01:44:58.949Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-28T01:44:58.949Z] GC before operation: completed in 169.330 ms, heap usage 399.232 MB -> 88.948 MB. [2025-06-28T01:45:02.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:45:05.642Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:45:09.369Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:45:12.288Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:45:13.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:45:16.219Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:45:17.859Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:45:20.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:45:20.092Z] 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. [2025-06-28T01:45:20.092Z] The best model improves the baseline by 14.34%. [2025-06-28T01:45:20.092Z] Top recommended movies for user id 72: [2025-06-28T01:45:20.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:45:20.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:45:20.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:45:20.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:45:20.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:45:20.092Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21167.591 ms) ====== [2025-06-28T01:45:20.092Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-28T01:45:20.414Z] GC before operation: completed in 191.759 ms, heap usage 465.268 MB -> 92.375 MB. [2025-06-28T01:45:24.149Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:45:26.371Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:45:29.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:45:32.209Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:45:33.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:45:35.478Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:45:37.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:45:38.760Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:45:39.084Z] 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. [2025-06-28T01:45:39.084Z] The best model improves the baseline by 14.34%. [2025-06-28T01:45:39.412Z] Top recommended movies for user id 72: [2025-06-28T01:45:39.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:45:39.412Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:45:39.412Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:45:39.412Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:45:39.412Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:45:39.412Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18920.668 ms) ====== [2025-06-28T01:45:39.412Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-28T01:45:39.412Z] GC before operation: completed in 192.415 ms, heap usage 351.568 MB -> 88.928 MB. [2025-06-28T01:45:43.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:45:45.423Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:45:48.347Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:45:51.262Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:45:52.395Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:45:54.030Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:45:56.286Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:45:57.414Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:45:58.110Z] 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. [2025-06-28T01:45:58.110Z] The best model improves the baseline by 14.34%. [2025-06-28T01:45:58.110Z] Top recommended movies for user id 72: [2025-06-28T01:45:58.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:45:58.110Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:45:58.110Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:45:58.110Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:45:58.110Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:45:58.110Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18744.745 ms) ====== [2025-06-28T01:45:58.110Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-28T01:45:58.432Z] GC before operation: completed in 218.459 ms, heap usage 490.839 MB -> 92.566 MB. [2025-06-28T01:46:01.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:46:04.305Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:46:07.291Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:46:09.513Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:46:11.140Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:46:13.362Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:46:15.582Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:46:16.711Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:46:17.033Z] 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. [2025-06-28T01:46:17.033Z] The best model improves the baseline by 14.34%. [2025-06-28T01:46:17.356Z] Top recommended movies for user id 72: [2025-06-28T01:46:17.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:46:17.356Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:46:17.356Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:46:17.356Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:46:17.356Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:46:17.356Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18810.434 ms) ====== [2025-06-28T01:46:17.356Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-28T01:46:17.356Z] GC before operation: completed in 164.570 ms, heap usage 251.078 MB -> 88.790 MB. [2025-06-28T01:46:20.278Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:46:23.194Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:46:26.109Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:46:29.027Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:46:30.164Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:46:31.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:46:33.499Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:46:35.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:46:35.454Z] 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. [2025-06-28T01:46:35.454Z] The best model improves the baseline by 14.34%. [2025-06-28T01:46:35.777Z] Top recommended movies for user id 72: [2025-06-28T01:46:35.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:46:35.777Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:46:35.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:46:35.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:46:35.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:46:35.777Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18222.222 ms) ====== [2025-06-28T01:46:35.777Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-28T01:46:35.777Z] GC before operation: completed in 169.960 ms, heap usage 612.919 MB -> 92.853 MB. [2025-06-28T01:46:38.693Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:46:41.656Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:46:44.567Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:46:47.491Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:46:49.171Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:46:50.802Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:46:52.449Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:46:54.096Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:46:54.423Z] 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. [2025-06-28T01:46:54.423Z] The best model improves the baseline by 14.34%. [2025-06-28T01:46:54.423Z] Top recommended movies for user id 72: [2025-06-28T01:46:54.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:46:54.423Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:46:54.423Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:46:54.423Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:46:54.423Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:46:54.423Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18696.701 ms) ====== [2025-06-28T01:46:54.423Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-28T01:46:54.747Z] GC before operation: completed in 173.706 ms, heap usage 492.950 MB -> 92.761 MB. [2025-06-28T01:46:57.662Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:47:00.578Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:47:03.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:47:05.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:47:07.988Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:47:09.128Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:47:10.762Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:47:12.392Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:47:12.713Z] 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. [2025-06-28T01:47:12.713Z] The best model improves the baseline by 14.34%. [2025-06-28T01:47:13.036Z] Top recommended movies for user id 72: [2025-06-28T01:47:13.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:47:13.036Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:47:13.036Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:47:13.036Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:47:13.036Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:47:13.036Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18163.869 ms) ====== [2025-06-28T01:47:13.036Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-28T01:47:13.036Z] GC before operation: completed in 163.160 ms, heap usage 168.734 MB -> 88.844 MB. [2025-06-28T01:47:15.953Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:47:18.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:47:21.871Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:47:24.095Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:47:25.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:47:27.358Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:47:28.993Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:47:30.626Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:47:30.626Z] 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. [2025-06-28T01:47:30.626Z] The best model improves the baseline by 14.34%. [2025-06-28T01:47:30.977Z] Top recommended movies for user id 72: [2025-06-28T01:47:30.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:47:30.977Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:47:30.977Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:47:30.977Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:47:30.977Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:47:30.977Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17841.699 ms) ====== [2025-06-28T01:47:30.977Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-28T01:47:30.977Z] GC before operation: completed in 185.768 ms, heap usage 216.032 MB -> 89.028 MB. [2025-06-28T01:47:33.911Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:47:36.829Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:47:39.749Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:47:41.973Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:47:43.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:47:45.311Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:47:46.949Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:47:48.588Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:47:48.588Z] 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. [2025-06-28T01:47:48.588Z] The best model improves the baseline by 14.34%. [2025-06-28T01:47:48.909Z] Top recommended movies for user id 72: [2025-06-28T01:47:48.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:47:48.909Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:47:48.909Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:47:48.909Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:47:48.909Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:47:48.909Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17710.988 ms) ====== [2025-06-28T01:47:48.909Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-28T01:47:48.909Z] GC before operation: completed in 167.801 ms, heap usage 308.589 MB -> 89.071 MB. [2025-06-28T01:47:51.838Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:47:54.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:47:57.672Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:47:59.891Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:48:01.556Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:48:03.183Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:48:04.812Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:48:06.543Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:48:06.543Z] 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. [2025-06-28T01:48:06.543Z] The best model improves the baseline by 14.34%. [2025-06-28T01:48:06.865Z] Top recommended movies for user id 72: [2025-06-28T01:48:06.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:48:06.865Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:48:06.865Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:48:06.865Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:48:06.865Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:48:06.865Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17805.407 ms) ====== [2025-06-28T01:48:06.865Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-28T01:48:06.865Z] GC before operation: completed in 169.267 ms, heap usage 252.129 MB -> 89.077 MB. [2025-06-28T01:48:09.783Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:48:12.715Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:48:15.635Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:48:17.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:48:19.502Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:48:21.137Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:48:23.361Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:48:24.993Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:48:24.993Z] 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. [2025-06-28T01:48:24.993Z] The best model improves the baseline by 14.34%. [2025-06-28T01:48:25.314Z] Top recommended movies for user id 72: [2025-06-28T01:48:25.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:48:25.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:48:25.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:48:25.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:48:25.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:48:25.314Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18332.871 ms) ====== [2025-06-28T01:48:25.314Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-28T01:48:25.638Z] GC before operation: completed in 216.432 ms, heap usage 596.662 MB -> 92.678 MB. [2025-06-28T01:48:28.563Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:48:30.875Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:48:33.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:48:36.698Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:48:37.825Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:48:39.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:48:41.116Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:48:42.749Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:48:43.069Z] 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. [2025-06-28T01:48:43.069Z] The best model improves the baseline by 14.34%. [2025-06-28T01:48:43.069Z] Top recommended movies for user id 72: [2025-06-28T01:48:43.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:48:43.069Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:48:43.069Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:48:43.069Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:48:43.069Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:48:43.069Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17618.176 ms) ====== [2025-06-28T01:48:43.069Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-28T01:48:43.390Z] GC before operation: completed in 165.556 ms, heap usage 304.441 MB -> 89.114 MB. [2025-06-28T01:48:46.302Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-28T01:48:48.559Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-28T01:48:51.467Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-28T01:48:53.697Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-28T01:48:55.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-28T01:48:57.040Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-28T01:48:59.264Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-28T01:49:00.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-28T01:49:00.740Z] 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. [2025-06-28T01:49:00.740Z] The best model improves the baseline by 14.34%. [2025-06-28T01:49:00.740Z] Top recommended movies for user id 72: [2025-06-28T01:49:00.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-28T01:49:00.740Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-28T01:49:00.740Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-28T01:49:00.740Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-28T01:49:00.740Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-28T01:49:00.740Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17603.879 ms) ====== [2025-06-28T01:49:01.442Z] ----------------------------------- [2025-06-28T01:49:01.442Z] renaissance-movie-lens_0_PASSED [2025-06-28T01:49:01.442Z] ----------------------------------- [2025-06-28T01:49:01.442Z] [2025-06-28T01:49:01.442Z] TEST TEARDOWN: [2025-06-28T01:49:01.442Z] Nothing to be done for teardown. [2025-06-28T01:49:01.442Z] renaissance-movie-lens_0 Finish Time: Sat Jun 28 01:49:01 2025 Epoch Time (ms): 1751075341199