[2025-11-05T22:50:07.227Z] Running test renaissance-movie-lens_0 ... [2025-11-05T22:50:07.227Z] =============================================== [2025-11-05T22:50:07.227Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 22:50:07 2025 Epoch Time (ms): 1762383007130 [2025-11-05T22:50:07.227Z] variation: NoOptions [2025-11-05T22:50:07.227Z] JVM_OPTIONS: [2025-11-05T22:50:07.227Z] { \ [2025-11-05T22:50:07.227Z] echo ""; echo "TEST SETUP:"; \ [2025-11-05T22:50:07.227Z] echo "Nothing to be done for setup."; \ [2025-11-05T22:50:07.227Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623812747019/renaissance-movie-lens_0"; \ [2025-11-05T22:50:07.227Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623812747019/renaissance-movie-lens_0"; \ [2025-11-05T22:50:07.227Z] echo ""; echo "TESTING:"; \ [2025-11-05T22:50:07.227Z] "/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_17623812747019/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-05T22:50:07.227Z] 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_17623812747019/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-05T22:50:07.227Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-05T22:50:07.227Z] echo "Nothing to be done for teardown."; \ [2025-11-05T22:50:07.227Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623812747019/TestTargetResult"; [2025-11-05T22:50:07.227Z] [2025-11-05T22:50:07.227Z] TEST SETUP: [2025-11-05T22:50:07.227Z] Nothing to be done for setup. [2025-11-05T22:50:07.227Z] [2025-11-05T22:50:07.227Z] TESTING: [2025-11-05T22:50:12.131Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-05T22:50:19.641Z] 22:50:19.589 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-05T22:50:23.492Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-05T22:50:23.492Z] Training: 60056, validation: 20285, test: 19854 [2025-11-05T22:50:23.492Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-05T22:50:23.838Z] GC before operation: completed in 148.099 ms, heap usage 140.133 MB -> 75.421 MB. [2025-11-05T22:50:31.230Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:50:37.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:50:42.052Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:50:45.074Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:50:47.414Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:50:49.762Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:50:51.547Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:50:53.894Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:50:53.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:50:53.894Z] The best model improves the baseline by 14.34%. [2025-11-05T22:50:54.232Z] Top recommended movies for user id 72: [2025-11-05T22:50:54.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:50:54.232Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:50:54.232Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:50:54.232Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:50:54.232Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:50:54.232Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30441.510 ms) ====== [2025-11-05T22:50:54.232Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-05T22:50:54.570Z] GC before operation: completed in 215.523 ms, heap usage 220.283 MB -> 96.682 MB. [2025-11-05T22:50:57.600Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:51:00.597Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:51:03.605Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:51:05.921Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:51:07.601Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:51:09.295Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:51:10.992Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:51:12.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:51:12.696Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:51:12.696Z] The best model improves the baseline by 14.34%. [2025-11-05T22:51:13.046Z] Top recommended movies for user id 72: [2025-11-05T22:51:13.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:51:13.046Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:51:13.046Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:51:13.046Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:51:13.046Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:51:13.046Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18574.574 ms) ====== [2025-11-05T22:51:13.046Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-05T22:51:13.046Z] GC before operation: completed in 168.903 ms, heap usage 190.497 MB -> 87.602 MB. [2025-11-05T22:51:16.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:51:18.512Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:51:21.550Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:51:23.890Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:51:25.092Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:51:26.808Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:51:28.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:51:30.221Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:51:30.221Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:51:30.221Z] The best model improves the baseline by 14.34%. [2025-11-05T22:51:30.563Z] Top recommended movies for user id 72: [2025-11-05T22:51:30.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:51:30.563Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:51:30.563Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:51:30.563Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:51:30.563Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:51:30.563Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17404.055 ms) ====== [2025-11-05T22:51:30.563Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-05T22:51:30.919Z] GC before operation: completed in 176.007 ms, heap usage 155.213 MB -> 88.228 MB. [2025-11-05T22:51:33.236Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:51:35.537Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:51:38.567Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:51:40.956Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:51:42.861Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:51:44.127Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:51:45.846Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:51:47.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:51:47.410Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:51:47.410Z] The best model improves the baseline by 14.34%. [2025-11-05T22:51:47.769Z] Top recommended movies for user id 72: [2025-11-05T22:51:47.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:51:47.769Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:51:47.769Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:51:47.769Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:51:47.769Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:51:47.769Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16857.593 ms) ====== [2025-11-05T22:51:47.769Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-05T22:51:47.769Z] GC before operation: completed in 164.850 ms, heap usage 170.267 MB -> 88.573 MB. [2025-11-05T22:51:50.168Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:51:53.309Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:51:55.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:51:58.170Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:51:59.471Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:52:00.724Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:52:02.785Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:52:03.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:52:03.907Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:52:03.907Z] The best model improves the baseline by 14.34%. [2025-11-05T22:52:04.263Z] Top recommended movies for user id 72: [2025-11-05T22:52:04.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:52:04.263Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:52:04.263Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:52:04.263Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:52:04.263Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:52:04.263Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16454.638 ms) ====== [2025-11-05T22:52:04.263Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-05T22:52:04.263Z] GC before operation: completed in 164.369 ms, heap usage 498.228 MB -> 92.316 MB. [2025-11-05T22:52:06.988Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:52:09.577Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:52:11.979Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:52:14.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:52:15.987Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:52:17.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:52:19.470Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:52:20.652Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:52:20.993Z] 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. [2025-11-05T22:52:20.993Z] The best model improves the baseline by 14.34%. [2025-11-05T22:52:21.328Z] Top recommended movies for user id 72: [2025-11-05T22:52:21.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:52:21.328Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:52:21.328Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:52:21.328Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:52:21.328Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:52:21.328Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17010.272 ms) ====== [2025-11-05T22:52:21.328Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-05T22:52:21.675Z] GC before operation: completed in 155.575 ms, heap usage 201.113 MB -> 88.864 MB. [2025-11-05T22:52:24.035Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:52:27.071Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:52:30.121Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:52:32.505Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:52:34.288Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:52:35.989Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:52:38.284Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:52:39.461Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:52:39.795Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:52:39.795Z] The best model improves the baseline by 14.34%. [2025-11-05T22:52:40.129Z] Top recommended movies for user id 72: [2025-11-05T22:52:40.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:52:40.129Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:52:40.129Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:52:40.129Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:52:40.129Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:52:40.129Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18580.187 ms) ====== [2025-11-05T22:52:40.129Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-05T22:52:40.129Z] GC before operation: completed in 154.592 ms, heap usage 233.599 MB -> 89.290 MB. [2025-11-05T22:52:43.124Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:52:45.419Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:52:47.702Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:52:49.985Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:52:51.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:52:52.829Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:52:54.522Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:52:55.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:52:56.041Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:52:56.041Z] The best model improves the baseline by 14.34%. [2025-11-05T22:52:56.381Z] Top recommended movies for user id 72: [2025-11-05T22:52:56.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:52:56.381Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:52:56.381Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:52:56.381Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:52:56.381Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:52:56.381Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16006.129 ms) ====== [2025-11-05T22:52:56.382Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-05T22:52:56.382Z] GC before operation: completed in 158.198 ms, heap usage 397.927 MB -> 89.581 MB. [2025-11-05T22:52:59.404Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:53:01.694Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:53:03.989Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:53:06.322Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:53:07.500Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:53:09.247Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:53:10.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:53:12.104Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:53:12.104Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:53:12.104Z] The best model improves the baseline by 14.34%. [2025-11-05T22:53:12.437Z] Top recommended movies for user id 72: [2025-11-05T22:53:12.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:53:12.437Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:53:12.437Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:53:12.437Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:53:12.437Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:53:12.437Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15906.485 ms) ====== [2025-11-05T22:53:12.437Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-05T22:53:12.437Z] GC before operation: completed in 155.385 ms, heap usage 407.160 MB -> 89.245 MB. [2025-11-05T22:53:15.433Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:53:17.157Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:53:20.173Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:53:22.006Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:53:23.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:53:24.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:53:26.544Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:53:27.713Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:53:27.713Z] 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. [2025-11-05T22:53:28.062Z] The best model improves the baseline by 14.34%. [2025-11-05T22:53:28.062Z] Top recommended movies for user id 72: [2025-11-05T22:53:28.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:53:28.062Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:53:28.062Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:53:28.062Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:53:28.062Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:53:28.062Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15510.488 ms) ====== [2025-11-05T22:53:28.062Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-05T22:53:28.062Z] GC before operation: completed in 152.027 ms, heap usage 385.349 MB -> 89.470 MB. [2025-11-05T22:53:30.391Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:53:32.688Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:53:34.999Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:53:37.300Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:53:38.500Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:53:40.279Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:53:41.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:53:43.249Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:53:43.249Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:53:43.249Z] The best model improves the baseline by 14.34%. [2025-11-05T22:53:43.249Z] Top recommended movies for user id 72: [2025-11-05T22:53:43.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:53:43.249Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:53:43.249Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:53:43.249Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:53:43.249Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:53:43.249Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15171.427 ms) ====== [2025-11-05T22:53:43.249Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-05T22:53:43.614Z] GC before operation: completed in 156.317 ms, heap usage 218.542 MB -> 88.885 MB. [2025-11-05T22:53:46.111Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:53:48.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:53:50.863Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:53:52.599Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:53:54.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:53:55.500Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:53:57.234Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:53:58.447Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:53:58.447Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:53:58.447Z] The best model improves the baseline by 14.34%. [2025-11-05T22:53:58.447Z] Top recommended movies for user id 72: [2025-11-05T22:53:58.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:53:58.447Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:53:58.447Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:53:58.447Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:53:58.447Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:53:58.447Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15111.614 ms) ====== [2025-11-05T22:53:58.447Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-05T22:53:58.789Z] GC before operation: completed in 154.936 ms, heap usage 228.396 MB -> 89.141 MB. [2025-11-05T22:54:01.112Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:54:03.585Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:54:05.897Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:54:08.245Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:54:09.447Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:54:10.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:54:12.312Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:54:13.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:54:13.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:54:13.994Z] The best model improves the baseline by 14.34%. [2025-11-05T22:54:13.994Z] Top recommended movies for user id 72: [2025-11-05T22:54:13.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:54:13.994Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:54:13.994Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:54:13.994Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:54:13.994Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:54:13.994Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15368.295 ms) ====== [2025-11-05T22:54:13.994Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-05T22:54:14.332Z] GC before operation: completed in 156.508 ms, heap usage 406.675 MB -> 89.511 MB. [2025-11-05T22:54:16.621Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:54:18.919Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:54:21.911Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:54:23.587Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:54:25.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:54:26.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:54:28.124Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:54:29.288Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:54:29.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:54:29.288Z] The best model improves the baseline by 14.34%. [2025-11-05T22:54:29.623Z] Top recommended movies for user id 72: [2025-11-05T22:54:29.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:54:29.623Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:54:29.623Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:54:29.623Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:54:29.623Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:54:29.623Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15225.079 ms) ====== [2025-11-05T22:54:29.623Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-05T22:54:29.623Z] GC before operation: completed in 158.674 ms, heap usage 441.075 MB -> 92.673 MB. [2025-11-05T22:54:31.915Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:54:34.298Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:54:36.586Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:54:38.871Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:54:40.036Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:54:41.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:54:42.882Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:54:44.052Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:54:44.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:54:44.388Z] The best model improves the baseline by 14.34%. [2025-11-05T22:54:44.388Z] Top recommended movies for user id 72: [2025-11-05T22:54:44.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:54:44.388Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:54:44.388Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:54:44.388Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:54:44.388Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:54:44.388Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14720.104 ms) ====== [2025-11-05T22:54:44.388Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-05T22:54:44.725Z] GC before operation: completed in 160.102 ms, heap usage 585.077 MB -> 93.086 MB. [2025-11-05T22:54:47.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:54:49.306Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:54:51.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:54:53.279Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:54:54.957Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:54:56.126Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:54:57.889Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:54:59.055Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:54:59.390Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:54:59.390Z] The best model improves the baseline by 14.34%. [2025-11-05T22:54:59.390Z] Top recommended movies for user id 72: [2025-11-05T22:54:59.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:54:59.390Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:54:59.390Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:54:59.390Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:54:59.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:54:59.390Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14892.380 ms) ====== [2025-11-05T22:54:59.390Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-05T22:54:59.726Z] GC before operation: completed in 156.898 ms, heap usage 449.996 MB -> 92.648 MB. [2025-11-05T22:55:02.011Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:55:04.292Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:55:06.571Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:55:08.862Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:55:10.043Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:55:11.215Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:55:12.480Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:55:14.209Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:55:14.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:55:14.209Z] The best model improves the baseline by 14.34%. [2025-11-05T22:55:14.209Z] Top recommended movies for user id 72: [2025-11-05T22:55:14.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:55:14.209Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:55:14.209Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:55:14.209Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:55:14.209Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:55:14.209Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14721.704 ms) ====== [2025-11-05T22:55:14.209Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-05T22:55:14.563Z] GC before operation: completed in 153.535 ms, heap usage 357.008 MB -> 89.411 MB. [2025-11-05T22:55:16.917Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:55:19.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:55:21.110Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:55:23.490Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:55:24.724Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:55:25.962Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:55:27.217Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:55:28.489Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:55:28.834Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:55:28.834Z] The best model improves the baseline by 14.34%. [2025-11-05T22:55:29.180Z] Top recommended movies for user id 72: [2025-11-05T22:55:29.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:55:29.180Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:55:29.180Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:55:29.180Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:55:29.180Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:55:29.180Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14576.374 ms) ====== [2025-11-05T22:55:29.180Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-05T22:55:29.180Z] GC before operation: completed in 150.956 ms, heap usage 155.728 MB -> 89.015 MB. [2025-11-05T22:55:31.765Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:55:33.621Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:55:35.994Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:55:38.457Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:55:39.671Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:55:40.912Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:55:42.163Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:55:43.424Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:55:43.833Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:55:43.833Z] The best model improves the baseline by 14.34%. [2025-11-05T22:55:43.833Z] Top recommended movies for user id 72: [2025-11-05T22:55:43.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:55:43.833Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:55:43.833Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:55:43.833Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:55:43.833Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:55:43.833Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14772.522 ms) ====== [2025-11-05T22:55:43.833Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-05T22:55:44.177Z] GC before operation: completed in 154.124 ms, heap usage 173.038 MB -> 89.014 MB. [2025-11-05T22:55:46.580Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T22:55:48.905Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T22:55:51.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T22:55:52.902Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T22:55:54.071Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T22:55:55.765Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T22:55:56.935Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T22:55:58.107Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T22:55:58.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T22:55:58.442Z] The best model improves the baseline by 14.34%. [2025-11-05T22:55:58.442Z] Top recommended movies for user id 72: [2025-11-05T22:55:58.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T22:55:58.442Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T22:55:58.442Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T22:55:58.442Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T22:55:58.442Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T22:55:58.442Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14441.244 ms) ====== [2025-11-05T22:55:59.168Z] ----------------------------------- [2025-11-05T22:55:59.168Z] renaissance-movie-lens_0_PASSED [2025-11-05T22:55:59.168Z] ----------------------------------- [2025-11-05T22:55:59.168Z] [2025-11-05T22:55:59.168Z] TEST TEARDOWN: [2025-11-05T22:55:59.168Z] Nothing to be done for teardown. [2025-11-05T22:55:59.168Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 22:55:58 2025 Epoch Time (ms): 1762383358828