[2025-05-22T05:32:38.193Z] Running test renaissance-movie-lens_0 ... [2025-05-22T05:32:38.193Z] =============================================== [2025-05-22T05:32:38.193Z] renaissance-movie-lens_0 Start Time: Thu May 22 05:32:37 2025 Epoch Time (ms): 1747891957818 [2025-05-22T05:32:38.193Z] variation: NoOptions [2025-05-22T05:32:38.193Z] JVM_OPTIONS: [2025-05-22T05:32:38.193Z] { \ [2025-05-22T05:32:38.193Z] echo ""; echo "TEST SETUP:"; \ [2025-05-22T05:32:38.193Z] echo "Nothing to be done for setup."; \ [2025-05-22T05:32:38.193Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17478877433422/renaissance-movie-lens_0"; \ [2025-05-22T05:32:38.193Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17478877433422/renaissance-movie-lens_0"; \ [2025-05-22T05:32:38.193Z] echo ""; echo "TESTING:"; \ [2025-05-22T05:32:38.193Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17478877433422/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-22T05:32:38.193Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17478877433422/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-22T05:32:38.193Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-22T05:32:38.193Z] echo "Nothing to be done for teardown."; \ [2025-05-22T05:32:38.193Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17478877433422/TestTargetResult"; [2025-05-22T05:32:38.193Z] [2025-05-22T05:32:38.193Z] TEST SETUP: [2025-05-22T05:32:38.193Z] Nothing to be done for setup. [2025-05-22T05:32:38.193Z] [2025-05-22T05:32:38.193Z] TESTING: [2025-05-22T05:32:47.394Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-22T05:33:00.516Z] 05:33:00.257 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. [2025-05-22T05:33:08.484Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-22T05:33:12.110Z] Training: 60056, validation: 20285, test: 19854 [2025-05-22T05:33:12.110Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-22T05:33:12.824Z] GC before operation: completed in 368.302 ms, heap usage 222.537 MB -> 75.571 MB. [2025-05-22T05:33:28.331Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:33:35.864Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:33:43.474Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:33:52.557Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:33:56.442Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:34:01.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:34:05.662Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:34:09.657Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:34:10.332Z] 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. [2025-05-22T05:34:10.332Z] The best model improves the baseline by 14.34%. [2025-05-22T05:34:11.123Z] Top recommended movies for user id 72: [2025-05-22T05:34:11.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:34:11.123Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:34:11.123Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:34:11.123Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:34:11.123Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:34:11.123Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58328.325 ms) ====== [2025-05-22T05:34:11.123Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-22T05:34:11.825Z] GC before operation: completed in 719.284 ms, heap usage 208.593 MB -> 96.356 MB. [2025-05-22T05:34:18.114Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:34:25.818Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:34:33.526Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:34:39.866Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:34:45.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:34:49.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:34:54.905Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:35:00.392Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:35:01.079Z] 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. [2025-05-22T05:35:01.793Z] The best model improves the baseline by 14.34%. [2025-05-22T05:35:01.793Z] Top recommended movies for user id 72: [2025-05-22T05:35:01.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:35:01.793Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:35:01.793Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:35:01.793Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:35:01.793Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:35:01.793Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (50408.286 ms) ====== [2025-05-22T05:35:01.793Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-22T05:35:02.445Z] GC before operation: completed in 576.549 ms, heap usage 365.462 MB -> 88.076 MB. [2025-05-22T05:35:09.073Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:35:16.892Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:35:23.263Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:35:28.310Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:35:32.246Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:35:38.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:35:42.348Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:35:47.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:35:47.296Z] 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. [2025-05-22T05:35:47.296Z] The best model improves the baseline by 14.34%. [2025-05-22T05:35:47.296Z] Top recommended movies for user id 72: [2025-05-22T05:35:47.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:35:47.296Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:35:47.296Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:35:47.296Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:35:47.296Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:35:47.296Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44092.220 ms) ====== [2025-05-22T05:35:47.296Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-22T05:35:47.296Z] GC before operation: completed in 211.110 ms, heap usage 293.505 MB -> 88.438 MB. [2025-05-22T05:35:53.555Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:35:58.639Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:36:03.803Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:36:08.828Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:36:12.870Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:36:17.284Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:36:23.431Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:36:28.603Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:36:29.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-22T05:36:29.321Z] The best model improves the baseline by 14.34%. [2025-05-22T05:36:29.321Z] Top recommended movies for user id 72: [2025-05-22T05:36:29.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:36:29.321Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:36:29.321Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:36:29.321Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:36:29.321Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:36:29.321Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (42674.157 ms) ====== [2025-05-22T05:36:29.321Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-22T05:36:29.999Z] GC before operation: completed in 237.597 ms, heap usage 169.705 MB -> 88.595 MB. [2025-05-22T05:36:35.556Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:36:43.202Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:36:52.794Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:37:02.869Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:37:08.058Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:37:12.215Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:37:16.494Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:37:19.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:37:20.394Z] 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. [2025-05-22T05:37:20.395Z] The best model improves the baseline by 14.34%. [2025-05-22T05:37:20.395Z] Top recommended movies for user id 72: [2025-05-22T05:37:20.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:37:20.395Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:37:20.395Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:37:20.395Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:37:20.395Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:37:20.395Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50744.850 ms) ====== [2025-05-22T05:37:20.395Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-22T05:37:21.145Z] GC before operation: completed in 233.617 ms, heap usage 225.570 MB -> 88.740 MB. [2025-05-22T05:37:25.113Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:37:30.700Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:37:37.184Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:37:43.385Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:37:45.565Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:37:47.853Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:37:51.815Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:37:54.838Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:37:54.838Z] 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. [2025-05-22T05:37:54.838Z] The best model improves the baseline by 14.34%. [2025-05-22T05:37:55.564Z] Top recommended movies for user id 72: [2025-05-22T05:37:55.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:37:55.564Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:37:55.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:37:55.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:37:55.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:37:55.565Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34594.778 ms) ====== [2025-05-22T05:37:55.565Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-22T05:37:55.565Z] GC before operation: completed in 223.967 ms, heap usage 251.929 MB -> 89.091 MB. [2025-05-22T05:38:00.516Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:38:08.705Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:38:15.800Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:38:18.879Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:38:22.043Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:38:25.029Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:38:28.138Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:38:31.187Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:38:31.824Z] 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. [2025-05-22T05:38:32.489Z] The best model improves the baseline by 14.34%. [2025-05-22T05:38:32.489Z] Top recommended movies for user id 72: [2025-05-22T05:38:32.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:38:32.489Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:38:32.489Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:38:32.489Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:38:32.489Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:38:32.489Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36835.910 ms) ====== [2025-05-22T05:38:32.489Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-22T05:38:32.489Z] GC before operation: completed in 258.066 ms, heap usage 259.458 MB -> 89.108 MB. [2025-05-22T05:38:38.897Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:38:45.843Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:38:51.279Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:38:57.670Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:39:01.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:39:03.786Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:39:09.098Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:39:13.216Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:39:14.760Z] 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. [2025-05-22T05:39:14.760Z] The best model improves the baseline by 14.34%. [2025-05-22T05:39:15.553Z] Top recommended movies for user id 72: [2025-05-22T05:39:15.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:39:15.553Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:39:15.553Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:39:15.553Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:39:15.553Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:39:15.553Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42840.877 ms) ====== [2025-05-22T05:39:15.553Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-22T05:39:16.214Z] GC before operation: completed in 671.862 ms, heap usage 319.611 MB -> 89.364 MB. [2025-05-22T05:39:22.599Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:39:28.802Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:39:33.870Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:39:43.619Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:39:48.043Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:39:50.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:39:54.672Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:39:57.768Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:39:58.447Z] 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. [2025-05-22T05:39:58.447Z] The best model improves the baseline by 14.34%. [2025-05-22T05:39:59.134Z] Top recommended movies for user id 72: [2025-05-22T05:39:59.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:39:59.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:39:59.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:39:59.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:39:59.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:39:59.134Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (42749.484 ms) ====== [2025-05-22T05:39:59.134Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-22T05:39:59.134Z] GC before operation: completed in 303.612 ms, heap usage 141.765 MB -> 88.993 MB. [2025-05-22T05:40:04.155Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:40:09.412Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:40:16.896Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:40:20.890Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:40:26.743Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:40:30.743Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:40:34.465Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:40:38.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:40:39.154Z] 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. [2025-05-22T05:40:39.154Z] The best model improves the baseline by 14.34%. [2025-05-22T05:40:39.154Z] Top recommended movies for user id 72: [2025-05-22T05:40:39.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:40:39.154Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:40:39.154Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:40:39.154Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:40:39.154Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:40:39.154Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (39924.474 ms) ====== [2025-05-22T05:40:39.154Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-22T05:40:39.154Z] GC before operation: completed in 200.422 ms, heap usage 218.212 MB -> 89.158 MB. [2025-05-22T05:40:47.427Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:40:52.499Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:40:58.648Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:41:03.724Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:41:07.793Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:41:10.901Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:41:16.349Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:41:20.774Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:41:21.435Z] 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. [2025-05-22T05:41:21.435Z] The best model improves the baseline by 14.34%. [2025-05-22T05:41:22.117Z] Top recommended movies for user id 72: [2025-05-22T05:41:22.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:41:22.118Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:41:22.118Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:41:22.118Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:41:22.118Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:41:22.118Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42412.443 ms) ====== [2025-05-22T05:41:22.118Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-22T05:41:22.118Z] GC before operation: completed in 256.703 ms, heap usage 193.857 MB -> 88.788 MB. [2025-05-22T05:41:28.043Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:41:33.088Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:41:41.312Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:41:47.734Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:41:50.894Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:41:54.014Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:41:58.097Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:42:02.399Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:42:02.399Z] 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. [2025-05-22T05:42:02.399Z] The best model improves the baseline by 14.34%. [2025-05-22T05:42:03.301Z] Top recommended movies for user id 72: [2025-05-22T05:42:03.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:42:03.301Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:42:03.301Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:42:03.301Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:42:03.301Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:42:03.301Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (40870.144 ms) ====== [2025-05-22T05:42:03.301Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-22T05:42:03.964Z] GC before operation: completed in 771.159 ms, heap usage 293.236 MB -> 89.241 MB. [2025-05-22T05:42:08.929Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:42:13.915Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:42:19.855Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:42:27.594Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:42:30.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:42:36.326Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:42:41.524Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:42:45.501Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:42:45.501Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-22T05:42:45.501Z] The best model improves the baseline by 14.34%. [2025-05-22T05:42:46.215Z] Top recommended movies for user id 72: [2025-05-22T05:42:46.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:42:46.215Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:42:46.215Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:42:46.215Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:42:46.215Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:42:46.215Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42272.321 ms) ====== [2025-05-22T05:42:46.215Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-22T05:42:46.215Z] GC before operation: completed in 423.349 ms, heap usage 292.273 MB -> 89.252 MB. [2025-05-22T05:42:52.456Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:42:58.754Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:43:06.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:43:10.571Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:43:13.670Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:43:17.628Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:43:21.638Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:43:24.813Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:43:25.549Z] 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. [2025-05-22T05:43:25.549Z] The best model improves the baseline by 14.34%. [2025-05-22T05:43:25.549Z] Top recommended movies for user id 72: [2025-05-22T05:43:25.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:43:25.549Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:43:25.549Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:43:25.549Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:43:25.549Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:43:25.549Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (39458.176 ms) ====== [2025-05-22T05:43:25.549Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-22T05:43:26.259Z] GC before operation: completed in 329.107 ms, heap usage 120.968 MB -> 88.903 MB. [2025-05-22T05:43:31.589Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:43:36.639Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:43:44.315Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:43:50.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:43:54.753Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:43:57.568Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:44:01.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:44:04.750Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:44:06.188Z] 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. [2025-05-22T05:44:06.188Z] The best model improves the baseline by 14.34%. [2025-05-22T05:44:06.188Z] Top recommended movies for user id 72: [2025-05-22T05:44:06.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:44:06.188Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:44:06.188Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:44:06.188Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:44:06.188Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:44:06.188Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (39943.038 ms) ====== [2025-05-22T05:44:06.188Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-22T05:44:06.872Z] GC before operation: completed in 537.791 ms, heap usage 415.978 MB -> 89.617 MB. [2025-05-22T05:44:12.023Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:44:17.045Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:44:23.623Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:44:30.099Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:44:34.114Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:44:37.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:44:40.130Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:44:44.444Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:44:47.229Z] 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. [2025-05-22T05:44:47.229Z] The best model improves the baseline by 14.34%. [2025-05-22T05:44:47.229Z] Top recommended movies for user id 72: [2025-05-22T05:44:47.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:44:47.229Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:44:47.229Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:44:47.229Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:44:47.229Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:44:47.229Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (40235.588 ms) ====== [2025-05-22T05:44:47.229Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-22T05:44:47.878Z] GC before operation: completed in 876.417 ms, heap usage 146.236 MB -> 90.488 MB. [2025-05-22T05:44:53.147Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:44:59.483Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:45:04.602Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:45:08.714Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:45:12.662Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:45:14.827Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:45:17.849Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:45:21.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:45:21.931Z] 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. [2025-05-22T05:45:21.931Z] The best model improves the baseline by 14.34%. [2025-05-22T05:45:22.646Z] Top recommended movies for user id 72: [2025-05-22T05:45:22.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:45:22.646Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:45:22.646Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:45:22.646Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:45:22.646Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:45:22.646Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (34602.970 ms) ====== [2025-05-22T05:45:22.646Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-22T05:45:23.353Z] GC before operation: completed in 647.102 ms, heap usage 411.176 MB -> 89.572 MB. [2025-05-22T05:45:29.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:45:34.954Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:45:39.894Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:45:45.074Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:45:47.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:45:49.509Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:45:53.549Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:45:56.637Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:45:56.637Z] 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. [2025-05-22T05:45:56.637Z] The best model improves the baseline by 14.34%. [2025-05-22T05:45:56.637Z] Top recommended movies for user id 72: [2025-05-22T05:45:56.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:45:56.637Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:45:56.637Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:45:56.637Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:45:56.637Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:45:56.637Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (33910.196 ms) ====== [2025-05-22T05:45:56.637Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-22T05:45:57.304Z] GC before operation: completed in 213.561 ms, heap usage 287.754 MB -> 89.157 MB. [2025-05-22T05:46:02.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:46:10.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:46:15.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:46:22.096Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:46:26.817Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:46:29.020Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:46:32.083Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:46:35.184Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:46:35.185Z] 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. [2025-05-22T05:46:35.185Z] The best model improves the baseline by 14.34%. [2025-05-22T05:46:35.845Z] Top recommended movies for user id 72: [2025-05-22T05:46:35.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:46:35.845Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:46:35.845Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:46:35.845Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:46:35.845Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:46:35.845Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (38598.057 ms) ====== [2025-05-22T05:46:35.845Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-22T05:46:36.500Z] GC before operation: completed in 446.414 ms, heap usage 284.803 MB -> 89.355 MB. [2025-05-22T05:46:42.780Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-22T05:46:47.925Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-22T05:46:54.276Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-22T05:47:00.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-22T05:47:02.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-22T05:47:06.165Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-22T05:47:09.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-22T05:47:12.284Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-22T05:47:12.959Z] 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. [2025-05-22T05:47:12.959Z] The best model improves the baseline by 14.34%. [2025-05-22T05:47:12.959Z] Top recommended movies for user id 72: [2025-05-22T05:47:12.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-22T05:47:12.959Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-22T05:47:12.959Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-22T05:47:12.959Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-22T05:47:12.959Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-22T05:47:12.959Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (36751.831 ms) ====== [2025-05-22T05:47:14.086Z] ----------------------------------- [2025-05-22T05:47:14.086Z] renaissance-movie-lens_0_PASSED [2025-05-22T05:47:14.086Z] ----------------------------------- [2025-05-22T05:47:14.086Z] [2025-05-22T05:47:14.086Z] TEST TEARDOWN: [2025-05-22T05:47:14.086Z] Nothing to be done for teardown. [2025-05-22T05:47:14.086Z] renaissance-movie-lens_0 Finish Time: Thu May 22 05:47:13 2025 Epoch Time (ms): 1747892833164