[2025-07-01T19:51:52.845Z] Running test renaissance-movie-lens_0 ... [2025-07-01T19:51:52.845Z] =============================================== [2025-07-01T19:51:52.845Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 19:51:52 2025 Epoch Time (ms): 1751399512058 [2025-07-01T19:51:52.845Z] variation: NoOptions [2025-07-01T19:51:52.845Z] JVM_OPTIONS: [2025-07-01T19:51:52.845Z] { \ [2025-07-01T19:51:52.845Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T19:51:52.845Z] echo "Nothing to be done for setup."; \ [2025-07-01T19:51:52.845Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513923674795/renaissance-movie-lens_0"; \ [2025-07-01T19:51:52.845Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513923674795/renaissance-movie-lens_0"; \ [2025-07-01T19:51:52.845Z] echo ""; echo "TESTING:"; \ [2025-07-01T19:51:52.845Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513923674795/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T19:51:52.845Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513923674795/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T19:51:52.845Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T19:51:52.845Z] echo "Nothing to be done for teardown."; \ [2025-07-01T19:51:52.845Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513923674795/TestTargetResult"; [2025-07-01T19:51:52.845Z] [2025-07-01T19:51:52.845Z] TEST SETUP: [2025-07-01T19:51:52.845Z] Nothing to be done for setup. [2025-07-01T19:51:52.845Z] [2025-07-01T19:51:52.845Z] TESTING: [2025-07-01T19:52:02.328Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-07-01T19:52:32.051Z] 19:52:31.187 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-07-01T19:52:40.834Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T19:52:40.834Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T19:52:40.834Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T19:52:41.481Z] GC before operation: completed in 335.836 ms, heap usage 483.338 MB -> 76.041 MB. [2025-07-01T19:53:02.035Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T19:53:14.118Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T19:53:33.390Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T19:53:44.614Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T19:54:02.927Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T19:54:10.540Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T19:54:18.234Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T19:54:22.195Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T19:54:22.195Z] 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. [2025-07-01T19:54:22.195Z] The best model improves the baseline by 14.34%. [2025-07-01T19:54:22.880Z] Top recommended movies for user id 72: [2025-07-01T19:54:22.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T19:54:22.880Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T19:54:22.880Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T19:54:22.880Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T19:54:22.880Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T19:54:22.880Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (101482.025 ms) ====== [2025-07-01T19:54:22.880Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T19:54:23.551Z] GC before operation: completed in 787.961 ms, heap usage 184.665 MB -> 95.250 MB. [2025-07-01T19:54:40.825Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T19:54:57.513Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T19:55:04.370Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T19:55:13.530Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T19:55:20.474Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T19:55:29.749Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T19:55:34.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T19:55:41.683Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T19:55:42.414Z] 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. [2025-07-01T19:55:42.414Z] The best model improves the baseline by 14.34%. [2025-07-01T19:55:43.134Z] Top recommended movies for user id 72: [2025-07-01T19:55:43.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T19:55:43.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T19:55:43.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T19:55:43.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T19:55:43.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T19:55:43.134Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (79167.856 ms) ====== [2025-07-01T19:55:43.134Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T19:55:43.134Z] GC before operation: completed in 370.100 ms, heap usage 236.407 MB -> 87.983 MB. [2025-07-01T19:55:53.001Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T19:56:01.307Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T19:56:16.795Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T19:56:26.304Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T19:56:34.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T19:56:39.192Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T19:56:47.163Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T19:56:52.450Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T19:56:53.125Z] 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. [2025-07-01T19:56:53.125Z] The best model improves the baseline by 14.34%. [2025-07-01T19:56:53.125Z] Top recommended movies for user id 72: [2025-07-01T19:56:53.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T19:56:53.125Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T19:56:53.125Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T19:56:53.125Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T19:56:53.125Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T19:56:53.125Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (70039.275 ms) ====== [2025-07-01T19:56:53.125Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T19:56:53.884Z] GC before operation: completed in 234.030 ms, heap usage 180.658 MB -> 88.530 MB. [2025-07-01T19:57:02.446Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T19:57:14.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T19:57:25.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T19:57:34.854Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T19:57:40.055Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T19:57:47.082Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T19:57:55.231Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T19:58:00.387Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T19:58:00.387Z] 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. [2025-07-01T19:58:00.387Z] The best model improves the baseline by 14.34%. [2025-07-01T19:58:01.039Z] Top recommended movies for user id 72: [2025-07-01T19:58:01.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T19:58:01.039Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T19:58:01.039Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T19:58:01.039Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T19:58:01.039Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T19:58:01.039Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (67381.345 ms) ====== [2025-07-01T19:58:01.039Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T19:58:01.724Z] GC before operation: completed in 524.239 ms, heap usage 250.635 MB -> 93.867 MB. [2025-07-01T19:58:10.894Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T19:58:19.216Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T19:58:28.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T19:58:33.733Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T19:58:38.844Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T19:58:42.065Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T19:58:47.166Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T19:58:52.426Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T19:58:53.146Z] 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. [2025-07-01T19:58:53.146Z] The best model improves the baseline by 14.34%. [2025-07-01T19:58:53.146Z] Top recommended movies for user id 72: [2025-07-01T19:58:53.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T19:58:53.146Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T19:58:53.146Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T19:58:53.146Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T19:58:53.146Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T19:58:53.146Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (51963.971 ms) ====== [2025-07-01T19:58:53.146Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T19:58:53.850Z] GC before operation: completed in 540.926 ms, heap usage 147.142 MB -> 88.805 MB. [2025-07-01T19:59:03.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T19:59:17.556Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T19:59:22.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T19:59:30.044Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T19:59:35.434Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T19:59:38.305Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T19:59:44.086Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T19:59:50.727Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T19:59:50.727Z] 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. [2025-07-01T19:59:50.727Z] The best model improves the baseline by 14.34%. [2025-07-01T19:59:51.567Z] Top recommended movies for user id 72: [2025-07-01T19:59:51.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T19:59:51.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T19:59:51.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T19:59:51.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T19:59:51.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T19:59:51.567Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57494.137 ms) ====== [2025-07-01T19:59:51.567Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T19:59:52.414Z] GC before operation: completed in 1039.622 ms, heap usage 167.778 MB -> 89.219 MB. [2025-07-01T20:00:04.485Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:00:10.912Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:00:19.461Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:00:25.965Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:00:34.507Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:00:37.301Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:00:42.505Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:00:49.408Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:00:51.081Z] 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. [2025-07-01T20:00:52.024Z] The best model improves the baseline by 14.34%. [2025-07-01T20:00:52.659Z] Top recommended movies for user id 72: [2025-07-01T20:00:52.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:00:52.659Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:00:52.659Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:00:52.659Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:00:52.659Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:00:52.659Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60018.474 ms) ====== [2025-07-01T20:00:52.659Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T20:00:53.589Z] GC before operation: completed in 762.550 ms, heap usage 108.595 MB -> 89.424 MB. [2025-07-01T20:01:03.186Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:01:08.069Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:01:14.516Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:01:19.402Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:01:21.708Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:01:23.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:01:27.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:01:31.593Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:01:31.593Z] 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. [2025-07-01T20:01:31.593Z] The best model improves the baseline by 14.34%. [2025-07-01T20:01:32.232Z] Top recommended movies for user id 72: [2025-07-01T20:01:32.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:01:32.232Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:01:32.232Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:01:32.232Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:01:32.232Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:01:32.232Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (38843.978 ms) ====== [2025-07-01T20:01:32.232Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T20:01:32.232Z] GC before operation: completed in 282.081 ms, heap usage 166.789 MB -> 89.349 MB. [2025-07-01T20:01:40.280Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:01:48.099Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:01:57.279Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:02:06.301Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:02:10.128Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:02:14.155Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:02:18.125Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:02:21.917Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:02:23.863Z] 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. [2025-07-01T20:02:23.863Z] The best model improves the baseline by 14.34%. [2025-07-01T20:02:25.511Z] Top recommended movies for user id 72: [2025-07-01T20:02:25.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:02:25.511Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:02:25.511Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:02:25.511Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:02:25.511Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:02:25.511Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52790.701 ms) ====== [2025-07-01T20:02:25.511Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T20:02:25.511Z] GC before operation: completed in 448.727 ms, heap usage 146.688 MB -> 89.200 MB. [2025-07-01T20:02:31.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:02:37.963Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:02:45.691Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:02:55.188Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:02:59.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:03:04.444Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:03:11.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:03:15.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:03:15.911Z] 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. [2025-07-01T20:03:15.911Z] The best model improves the baseline by 14.34%. [2025-07-01T20:03:16.615Z] Top recommended movies for user id 72: [2025-07-01T20:03:16.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:03:16.615Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:03:16.615Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:03:16.615Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:03:16.615Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:03:16.615Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50834.636 ms) ====== [2025-07-01T20:03:16.615Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T20:03:18.556Z] GC before operation: completed in 1363.846 ms, heap usage 315.693 MB -> 89.650 MB. [2025-07-01T20:03:26.219Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:03:32.300Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:03:39.929Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:03:46.626Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:03:53.945Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:04:00.230Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:04:05.333Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:04:08.192Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:04:08.806Z] 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. [2025-07-01T20:04:08.806Z] The best model improves the baseline by 14.34%. [2025-07-01T20:04:09.449Z] Top recommended movies for user id 72: [2025-07-01T20:04:09.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:04:09.449Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:04:09.449Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:04:09.449Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:04:09.449Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:04:09.449Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51392.151 ms) ====== [2025-07-01T20:04:09.449Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T20:04:09.449Z] GC before operation: completed in 239.326 ms, heap usage 189.846 MB -> 89.180 MB. [2025-07-01T20:04:15.790Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:04:28.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:04:40.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:04:46.344Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:04:50.412Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:04:54.380Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:04:58.395Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:05:04.943Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:05:04.943Z] 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. [2025-07-01T20:05:04.943Z] The best model improves the baseline by 14.34%. [2025-07-01T20:05:05.858Z] Top recommended movies for user id 72: [2025-07-01T20:05:05.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:05:05.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:05:05.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:05:05.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:05:05.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:05:05.858Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (56298.595 ms) ====== [2025-07-01T20:05:05.858Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T20:05:06.688Z] GC before operation: completed in 696.701 ms, heap usage 165.905 MB -> 89.422 MB. [2025-07-01T20:05:14.552Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:05:19.856Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:05:30.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:05:39.186Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:05:43.057Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:05:46.884Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:05:51.129Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:05:56.306Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:05:56.999Z] 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. [2025-07-01T20:05:56.999Z] The best model improves the baseline by 14.34%. [2025-07-01T20:05:57.617Z] Top recommended movies for user id 72: [2025-07-01T20:05:57.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:05:57.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:05:57.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:05:57.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:05:57.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:05:57.617Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51025.621 ms) ====== [2025-07-01T20:05:57.617Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T20:05:57.617Z] GC before operation: completed in 430.918 ms, heap usage 142.035 MB -> 89.542 MB. [2025-07-01T20:06:05.212Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:06:12.956Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:06:25.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:06:31.935Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:06:35.886Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:06:40.105Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:06:45.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:06:49.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:06:50.405Z] 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. [2025-07-01T20:06:50.405Z] The best model improves the baseline by 14.34%. [2025-07-01T20:06:51.284Z] Top recommended movies for user id 72: [2025-07-01T20:06:51.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:06:51.284Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:06:51.284Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:06:51.284Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:06:51.284Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:06:51.284Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (53112.912 ms) ====== [2025-07-01T20:06:51.284Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T20:06:51.284Z] GC before operation: completed in 524.254 ms, heap usage 192.559 MB -> 89.339 MB. [2025-07-01T20:07:02.321Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:07:06.383Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:07:17.544Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:07:20.510Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:07:24.496Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:07:27.531Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:07:31.585Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:07:35.589Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:07:36.297Z] 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. [2025-07-01T20:07:36.297Z] The best model improves the baseline by 14.34%. [2025-07-01T20:07:37.665Z] Top recommended movies for user id 72: [2025-07-01T20:07:37.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:07:37.665Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:07:37.665Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:07:37.665Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:07:37.665Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:07:37.665Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45360.476 ms) ====== [2025-07-01T20:07:37.665Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T20:07:39.447Z] GC before operation: completed in 2154.324 ms, heap usage 213.281 MB -> 87.310 MB. [2025-07-01T20:07:51.095Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:07:55.428Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:08:01.631Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:08:09.609Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:08:13.997Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:08:21.382Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:08:25.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:08:32.053Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:08:32.795Z] 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. [2025-07-01T20:08:32.795Z] The best model improves the baseline by 14.34%. [2025-07-01T20:08:33.506Z] Top recommended movies for user id 72: [2025-07-01T20:08:33.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:08:33.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:08:33.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:08:33.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:08:33.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:08:33.506Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54313.398 ms) ====== [2025-07-01T20:08:33.506Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T20:08:33.506Z] GC before operation: completed in 374.842 ms, heap usage 356.295 MB -> 86.627 MB. [2025-07-01T20:08:41.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:08:48.930Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:08:55.261Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:09:01.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:09:05.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:09:08.540Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:09:16.350Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:09:19.373Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:09:20.058Z] 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. [2025-07-01T20:09:20.058Z] The best model improves the baseline by 14.34%. [2025-07-01T20:09:20.058Z] Top recommended movies for user id 72: [2025-07-01T20:09:20.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:09:20.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:09:20.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:09:20.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:09:20.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:09:20.058Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (46574.710 ms) ====== [2025-07-01T20:09:20.058Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T20:09:20.691Z] GC before operation: completed in 249.150 ms, heap usage 167.715 MB -> 86.362 MB. [2025-07-01T20:09:25.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:09:33.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:09:38.521Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:09:46.348Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:09:51.028Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:09:56.420Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:10:01.667Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:10:06.088Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:10:06.762Z] 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. [2025-07-01T20:10:06.762Z] The best model improves the baseline by 14.34%. [2025-07-01T20:10:07.402Z] Top recommended movies for user id 72: [2025-07-01T20:10:07.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:10:07.402Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:10:07.402Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:10:07.402Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:10:07.402Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:10:07.402Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46833.988 ms) ====== [2025-07-01T20:10:07.402Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T20:10:07.402Z] GC before operation: completed in 334.657 ms, heap usage 303.003 MB -> 86.447 MB. [2025-07-01T20:10:15.378Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:10:20.688Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:10:30.674Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:10:36.694Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:10:41.972Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:10:46.136Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:10:51.348Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:10:54.274Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:10:54.900Z] 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. [2025-07-01T20:10:54.900Z] The best model improves the baseline by 14.34%. [2025-07-01T20:10:55.604Z] Top recommended movies for user id 72: [2025-07-01T20:10:55.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:10:55.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:10:55.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:10:55.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:10:55.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:10:55.604Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (47660.465 ms) ====== [2025-07-01T20:10:55.604Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T20:10:55.604Z] GC before operation: completed in 352.611 ms, heap usage 115.197 MB -> 86.246 MB. [2025-07-01T20:11:03.423Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:11:16.607Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:11:30.007Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:11:40.160Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:11:45.557Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:11:51.118Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:11:56.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:11:59.712Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:11:59.712Z] 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. [2025-07-01T20:11:59.712Z] The best model improves the baseline by 14.34%. [2025-07-01T20:12:00.419Z] Top recommended movies for user id 72: [2025-07-01T20:12:00.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-01T20:12:00.419Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-01T20:12:00.419Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-01T20:12:00.419Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-01T20:12:00.419Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-01T20:12:00.419Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (64534.252 ms) ====== [2025-07-01T20:12:01.109Z] ----------------------------------- [2025-07-01T20:12:01.109Z] renaissance-movie-lens_0_PASSED [2025-07-01T20:12:01.109Z] ----------------------------------- [2025-07-01T20:12:01.109Z] [2025-07-01T20:12:01.109Z] TEST TEARDOWN: [2025-07-01T20:12:01.109Z] Nothing to be done for teardown. [2025-07-01T20:12:01.109Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 20:12:00 2025 Epoch Time (ms): 1751400720852