[2025-06-26T16:57:43.551Z] Running test renaissance-movie-lens_0 ... [2025-06-26T16:57:43.551Z] =============================================== [2025-06-26T16:57:43.551Z] renaissance-movie-lens_0 Start Time: Thu Jun 26 16:57:43 2025 Epoch Time (ms): 1750957063432 [2025-06-26T16:57:43.551Z] variation: NoOptions [2025-06-26T16:57:43.551Z] JVM_OPTIONS: [2025-06-26T16:57:43.551Z] { \ [2025-06-26T16:57:43.551Z] echo ""; echo "TEST SETUP:"; \ [2025-06-26T16:57:43.551Z] echo "Nothing to be done for setup."; \ [2025-06-26T16:57:43.551Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17509550664507/renaissance-movie-lens_0"; \ [2025-06-26T16:57:43.551Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17509550664507/renaissance-movie-lens_0"; \ [2025-06-26T16:57:43.551Z] echo ""; echo "TESTING:"; \ [2025-06-26T16:57:43.551Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17509550664507/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-26T16:57:43.551Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17509550664507/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-26T16:57:43.551Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-26T16:57:43.551Z] echo "Nothing to be done for teardown."; \ [2025-06-26T16:57:43.551Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17509550664507/TestTargetResult"; [2025-06-26T16:57:43.551Z] [2025-06-26T16:57:43.551Z] TEST SETUP: [2025-06-26T16:57:43.551Z] Nothing to be done for setup. [2025-06-26T16:57:43.551Z] [2025-06-26T16:57:43.551Z] TESTING: [2025-06-26T16:57:49.412Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-26T16:57:58.410Z] 16:57:56.799 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-26T16:58:00.640Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-26T16:58:00.964Z] Training: 60056, validation: 20285, test: 19854 [2025-06-26T16:58:00.964Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-26T16:58:01.291Z] GC before operation: completed in 191.258 ms, heap usage 264.100 MB -> 75.502 MB. [2025-06-26T16:58:12.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T16:58:17.963Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T16:58:23.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T16:58:28.555Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T16:58:31.480Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T16:58:33.719Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T16:58:36.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T16:58:38.884Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T16:58:39.582Z] 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. [2025-06-26T16:58:39.582Z] The best model improves the baseline by 14.34%. [2025-06-26T16:58:39.904Z] Top recommended movies for user id 72: [2025-06-26T16:58:39.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T16:58:39.904Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T16:58:39.904Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T16:58:39.904Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T16:58:39.904Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T16:58:39.904Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38451.177 ms) ====== [2025-06-26T16:58:39.904Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-26T16:58:39.904Z] GC before operation: completed in 190.243 ms, heap usage 391.563 MB -> 90.540 MB. [2025-06-26T16:58:44.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T16:58:48.448Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T16:58:51.495Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T16:58:55.257Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T16:58:57.060Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T16:58:59.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T16:59:01.607Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T16:59:03.870Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T16:59:03.870Z] 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. [2025-06-26T16:59:03.870Z] The best model improves the baseline by 14.34%. [2025-06-26T16:59:04.191Z] Top recommended movies for user id 72: [2025-06-26T16:59:04.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T16:59:04.191Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T16:59:04.191Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T16:59:04.191Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T16:59:04.191Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T16:59:04.191Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24189.138 ms) ====== [2025-06-26T16:59:04.191Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-26T16:59:04.191Z] GC before operation: completed in 173.485 ms, heap usage 290.335 MB -> 87.734 MB. [2025-06-26T16:59:08.015Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T16:59:11.744Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T16:59:15.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T16:59:18.442Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T16:59:20.082Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T16:59:22.307Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T16:59:24.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T16:59:26.738Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T16:59:27.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-26T16:59:27.058Z] The best model improves the baseline by 14.34%. [2025-06-26T16:59:27.378Z] Top recommended movies for user id 72: [2025-06-26T16:59:27.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T16:59:27.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T16:59:27.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T16:59:27.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T16:59:27.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T16:59:27.378Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23005.079 ms) ====== [2025-06-26T16:59:27.378Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-26T16:59:27.378Z] GC before operation: completed in 184.493 ms, heap usage 438.999 MB -> 91.824 MB. [2025-06-26T16:59:31.215Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T16:59:34.124Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T16:59:37.033Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T16:59:40.006Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T16:59:42.276Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T16:59:43.908Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T16:59:46.162Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T16:59:47.846Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T16:59:47.846Z] 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. [2025-06-26T16:59:47.846Z] The best model improves the baseline by 14.34%. [2025-06-26T16:59:48.169Z] Top recommended movies for user id 72: [2025-06-26T16:59:48.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T16:59:48.169Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T16:59:48.169Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T16:59:48.169Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T16:59:48.169Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T16:59:48.169Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20569.242 ms) ====== [2025-06-26T16:59:48.169Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-26T16:59:48.169Z] GC before operation: completed in 181.820 ms, heap usage 305.085 MB -> 88.734 MB. [2025-06-26T16:59:51.908Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T16:59:54.906Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T16:59:57.875Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:00:00.784Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:00:02.398Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:00:03.970Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:00:05.682Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:00:07.403Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:00:07.735Z] 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. [2025-06-26T17:00:08.111Z] The best model improves the baseline by 14.34%. [2025-06-26T17:00:08.111Z] Top recommended movies for user id 72: [2025-06-26T17:00:08.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:00:08.112Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:00:08.112Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:00:08.112Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:00:08.112Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:00:08.112Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19876.793 ms) ====== [2025-06-26T17:00:08.112Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-26T17:00:08.447Z] GC before operation: completed in 194.446 ms, heap usage 391.134 MB -> 88.870 MB. [2025-06-26T17:00:11.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:00:14.349Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:00:17.308Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:00:20.309Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:00:21.960Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:00:24.198Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:00:25.845Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:00:28.075Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:00:28.075Z] 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. [2025-06-26T17:00:28.075Z] The best model improves the baseline by 14.34%. [2025-06-26T17:00:28.075Z] Top recommended movies for user id 72: [2025-06-26T17:00:28.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:00:28.075Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:00:28.075Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:00:28.075Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:00:28.075Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:00:28.075Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19875.366 ms) ====== [2025-06-26T17:00:28.075Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-26T17:00:28.402Z] GC before operation: completed in 191.855 ms, heap usage 303.460 MB -> 89.007 MB. [2025-06-26T17:00:31.405Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:00:34.343Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:00:38.061Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:00:40.977Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:00:42.682Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:00:44.935Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:00:46.620Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:00:48.270Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:00:48.609Z] 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. [2025-06-26T17:00:48.609Z] The best model improves the baseline by 14.34%. [2025-06-26T17:00:48.937Z] Top recommended movies for user id 72: [2025-06-26T17:00:48.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:00:48.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:00:48.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:00:48.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:00:48.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:00:48.937Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20491.074 ms) ====== [2025-06-26T17:00:48.937Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-26T17:00:49.268Z] GC before operation: completed in 215.317 ms, heap usage 155.285 MB -> 88.786 MB. [2025-06-26T17:00:52.187Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:00:55.111Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:00:58.034Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:01:00.253Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:01:02.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:01:04.193Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:01:05.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:01:07.475Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:01:07.822Z] 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. [2025-06-26T17:01:07.822Z] The best model improves the baseline by 14.34%. [2025-06-26T17:01:07.822Z] Top recommended movies for user id 72: [2025-06-26T17:01:07.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:01:07.822Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:01:07.822Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:01:07.822Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:01:07.822Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:01:07.822Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18837.473 ms) ====== [2025-06-26T17:01:07.822Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-26T17:01:08.141Z] GC before operation: completed in 194.259 ms, heap usage 249.504 MB -> 89.182 MB. [2025-06-26T17:01:11.047Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:01:13.981Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:01:16.922Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:01:19.835Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:01:22.950Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:01:23.273Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:01:25.483Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:01:27.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:01:27.510Z] 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. [2025-06-26T17:01:27.510Z] The best model improves the baseline by 14.34%. [2025-06-26T17:01:27.833Z] Top recommended movies for user id 72: [2025-06-26T17:01:27.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:01:27.834Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:01:27.834Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:01:27.834Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:01:27.834Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:01:27.834Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19651.524 ms) ====== [2025-06-26T17:01:27.834Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-26T17:01:27.834Z] GC before operation: completed in 189.145 ms, heap usage 204.816 MB -> 88.854 MB. [2025-06-26T17:01:30.741Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:01:33.647Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:01:37.366Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:01:39.580Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:01:41.330Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:01:42.956Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:01:44.584Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:01:46.211Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:01:46.532Z] 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. [2025-06-26T17:01:46.532Z] The best model improves the baseline by 14.34%. [2025-06-26T17:01:46.853Z] Top recommended movies for user id 72: [2025-06-26T17:01:46.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:01:46.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:01:46.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:01:46.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:01:46.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:01:46.854Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18738.336 ms) ====== [2025-06-26T17:01:46.854Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-26T17:01:46.854Z] GC before operation: completed in 175.522 ms, heap usage 203.228 MB -> 89.083 MB. [2025-06-26T17:01:49.765Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:01:52.734Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:01:55.642Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:01:57.858Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:02:00.080Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:02:01.390Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:02:03.607Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:02:04.730Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:02:05.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-26T17:02:05.051Z] The best model improves the baseline by 14.34%. [2025-06-26T17:02:05.375Z] Top recommended movies for user id 72: [2025-06-26T17:02:05.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:02:05.375Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:02:05.375Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:02:05.375Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:02:05.375Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:02:05.375Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18443.555 ms) ====== [2025-06-26T17:02:05.375Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-26T17:02:05.375Z] GC before operation: completed in 176.384 ms, heap usage 116.733 MB -> 90.024 MB. [2025-06-26T17:02:08.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:02:11.198Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:02:14.203Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:02:17.113Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:02:18.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:02:20.370Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:02:22.000Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:02:23.627Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:02:23.948Z] 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. [2025-06-26T17:02:23.948Z] The best model improves the baseline by 14.34%. [2025-06-26T17:02:24.269Z] Top recommended movies for user id 72: [2025-06-26T17:02:24.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:02:24.269Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:02:24.269Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:02:24.269Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:02:24.269Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:02:24.269Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18717.555 ms) ====== [2025-06-26T17:02:24.269Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-26T17:02:24.269Z] GC before operation: completed in 181.596 ms, heap usage 115.108 MB -> 91.084 MB. [2025-06-26T17:02:27.190Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:02:30.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:02:33.019Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:02:35.308Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:02:37.526Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:02:38.648Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:02:40.286Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:02:42.501Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:02:42.501Z] 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. [2025-06-26T17:02:42.501Z] The best model improves the baseline by 14.34%. [2025-06-26T17:02:42.501Z] Top recommended movies for user id 72: [2025-06-26T17:02:42.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:02:42.501Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:02:42.501Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:02:42.501Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:02:42.501Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:02:42.501Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18116.259 ms) ====== [2025-06-26T17:02:42.501Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-26T17:02:42.821Z] GC before operation: completed in 184.438 ms, heap usage 549.757 MB -> 93.020 MB. [2025-06-26T17:02:45.732Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:02:48.643Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:02:51.554Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:02:53.780Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:02:55.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:02:57.042Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:02:58.763Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:03:00.395Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:03:00.725Z] 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. [2025-06-26T17:03:00.725Z] The best model improves the baseline by 14.34%. [2025-06-26T17:03:01.063Z] Top recommended movies for user id 72: [2025-06-26T17:03:01.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:03:01.063Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:03:01.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:03:01.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:03:01.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:03:01.064Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18229.951 ms) ====== [2025-06-26T17:03:01.064Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-26T17:03:01.064Z] GC before operation: completed in 178.981 ms, heap usage 170.366 MB -> 88.921 MB. [2025-06-26T17:03:04.008Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:03:06.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:03:09.825Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:03:12.076Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:03:13.721Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:03:15.358Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:03:16.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:03:18.699Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:03:19.019Z] 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. [2025-06-26T17:03:19.019Z] The best model improves the baseline by 14.34%. [2025-06-26T17:03:19.019Z] Top recommended movies for user id 72: [2025-06-26T17:03:19.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:03:19.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:03:19.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:03:19.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:03:19.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:03:19.019Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17967.505 ms) ====== [2025-06-26T17:03:19.019Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-26T17:03:19.432Z] GC before operation: completed in 181.306 ms, heap usage 352.865 MB -> 89.535 MB. [2025-06-26T17:03:23.202Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:03:25.445Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:03:28.352Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:03:31.271Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:03:32.890Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:03:34.509Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:03:36.133Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:03:37.810Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:03:37.810Z] 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. [2025-06-26T17:03:37.810Z] The best model improves the baseline by 14.34%. [2025-06-26T17:03:38.140Z] Top recommended movies for user id 72: [2025-06-26T17:03:38.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:03:38.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:03:38.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:03:38.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:03:38.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:03:38.140Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18798.358 ms) ====== [2025-06-26T17:03:38.140Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-26T17:03:38.140Z] GC before operation: completed in 179.213 ms, heap usage 391.175 MB -> 89.462 MB. [2025-06-26T17:03:41.059Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:03:44.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:03:47.135Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:03:49.466Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:03:51.100Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:03:52.736Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:03:54.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:03:56.080Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:03:56.402Z] 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. [2025-06-26T17:03:56.402Z] The best model improves the baseline by 14.34%. [2025-06-26T17:03:56.731Z] Top recommended movies for user id 72: [2025-06-26T17:03:56.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:03:56.731Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:03:56.731Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:03:56.731Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:03:56.731Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:03:56.731Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18414.165 ms) ====== [2025-06-26T17:03:56.731Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-26T17:03:56.731Z] GC before operation: completed in 176.816 ms, heap usage 411.048 MB -> 89.547 MB. [2025-06-26T17:03:59.637Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:04:02.546Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:04:05.557Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:04:08.473Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:04:10.110Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:04:11.756Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:04:13.397Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:04:15.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:04:15.032Z] 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. [2025-06-26T17:04:15.353Z] The best model improves the baseline by 14.34%. [2025-06-26T17:04:15.353Z] Top recommended movies for user id 72: [2025-06-26T17:04:15.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:04:15.353Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:04:15.353Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:04:15.353Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:04:15.353Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:04:15.353Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18494.922 ms) ====== [2025-06-26T17:04:15.353Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-26T17:04:15.677Z] GC before operation: completed in 187.114 ms, heap usage 585.273 MB -> 92.867 MB. [2025-06-26T17:04:18.607Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:04:21.573Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:04:24.503Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:04:26.877Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:04:28.552Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:04:30.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:04:31.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:04:33.493Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:04:33.493Z] 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. [2025-06-26T17:04:33.493Z] The best model improves the baseline by 14.34%. [2025-06-26T17:04:33.879Z] Top recommended movies for user id 72: [2025-06-26T17:04:33.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:04:33.879Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:04:33.879Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:04:33.879Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:04:33.879Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:04:33.879Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18206.247 ms) ====== [2025-06-26T17:04:33.879Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-26T17:04:33.879Z] GC before operation: completed in 183.571 ms, heap usage 448.994 MB -> 92.700 MB. [2025-06-26T17:04:36.798Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T17:04:39.725Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T17:04:42.641Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T17:04:44.866Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T17:04:46.526Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T17:04:48.262Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T17:04:50.006Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T17:04:51.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T17:04:52.035Z] 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. [2025-06-26T17:04:52.035Z] The best model improves the baseline by 14.34%. [2025-06-26T17:04:52.035Z] Top recommended movies for user id 72: [2025-06-26T17:04:52.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-26T17:04:52.035Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-26T17:04:52.035Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-26T17:04:52.035Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-26T17:04:52.035Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-26T17:04:52.035Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18245.807 ms) ====== [2025-06-26T17:04:52.766Z] ----------------------------------- [2025-06-26T17:04:52.766Z] renaissance-movie-lens_0_PASSED [2025-06-26T17:04:52.766Z] ----------------------------------- [2025-06-26T17:04:52.766Z] [2025-06-26T17:04:52.766Z] TEST TEARDOWN: [2025-06-26T17:04:52.766Z] Nothing to be done for teardown. [2025-06-26T17:04:52.766Z] renaissance-movie-lens_0 Finish Time: Thu Jun 26 17:04:52 2025 Epoch Time (ms): 1750957492388