[2025-10-01T21:42:20.675Z] Running test renaissance-movie-lens_0 ... [2025-10-01T21:42:20.675Z] =============================================== [2025-10-01T21:42:20.675Z] renaissance-movie-lens_0 Start Time: Wed Oct 1 21:42:20 2025 Epoch Time (ms): 1759354940557 [2025-10-01T21:42:20.675Z] variation: NoOptions [2025-10-01T21:42:20.675Z] JVM_OPTIONS: [2025-10-01T21:42:20.675Z] { \ [2025-10-01T21:42:20.675Z] echo ""; echo "TEST SETUP:"; \ [2025-10-01T21:42:20.675Z] echo "Nothing to be done for setup."; \ [2025-10-01T21:42:20.675Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1759353063741/renaissance-movie-lens_0"; \ [2025-10-01T21:42:20.675Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1759353063741/renaissance-movie-lens_0"; \ [2025-10-01T21:42:20.675Z] echo ""; echo "TESTING:"; \ [2025-10-01T21:42:20.675Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1759353063741/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-01T21:42:20.675Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1759353063741/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-01T21:42:20.675Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-01T21:42:20.675Z] echo "Nothing to be done for teardown."; \ [2025-10-01T21:42:20.675Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1759353063741/TestTargetResult"; [2025-10-01T21:42:20.675Z] [2025-10-01T21:42:20.675Z] TEST SETUP: [2025-10-01T21:42:20.675Z] Nothing to be done for setup. [2025-10-01T21:42:20.675Z] [2025-10-01T21:42:20.675Z] TESTING: [2025-10-01T21:42:25.307Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-01T21:42:34.019Z] 21:42:32.506 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. [2025-10-01T21:42:35.613Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-01T21:42:36.286Z] Training: 60056, validation: 20285, test: 19854 [2025-10-01T21:42:36.286Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-01T21:42:36.604Z] GC before operation: completed in 126.736 ms, heap usage 295.559 MB -> 75.423 MB. [2025-10-01T21:42:43.714Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:42:47.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:42:52.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:42:54.957Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:42:57.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:42:59.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:43:01.487Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:43:03.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:43:03.410Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-01T21:43:03.410Z] The best model improves the baseline by 14.34%. [2025-10-01T21:43:03.724Z] Top recommended movies for user id 72: [2025-10-01T21:43:03.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:43:03.724Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:43:03.724Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:43:03.724Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:43:03.724Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:43:03.724Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27150.506 ms) ====== [2025-10-01T21:43:03.724Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-01T21:43:03.725Z] GC before operation: completed in 118.387 ms, heap usage 232.287 MB -> 91.200 MB. [2025-10-01T21:43:06.592Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:43:09.449Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:43:12.323Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:43:14.613Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:43:15.756Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:43:17.363Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:43:18.464Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:43:19.567Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:43:19.883Z] 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. [2025-10-01T21:43:19.883Z] The best model improves the baseline by 14.34%. [2025-10-01T21:43:20.199Z] Top recommended movies for user id 72: [2025-10-01T21:43:20.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:43:20.199Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:43:20.199Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:43:20.199Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:43:20.199Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:43:20.199Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16388.720 ms) ====== [2025-10-01T21:43:20.199Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-01T21:43:20.199Z] GC before operation: completed in 116.880 ms, heap usage 411.196 MB -> 90.042 MB. [2025-10-01T21:43:22.387Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:43:24.562Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:43:26.746Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:43:28.934Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:43:30.535Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:43:31.634Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:43:33.807Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:43:34.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:43:35.221Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-01T21:43:35.221Z] The best model improves the baseline by 14.34%. [2025-10-01T21:43:35.221Z] Top recommended movies for user id 72: [2025-10-01T21:43:35.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:43:35.221Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:43:35.221Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:43:35.221Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:43:35.221Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:43:35.221Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15116.081 ms) ====== [2025-10-01T21:43:35.538Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-01T21:43:35.538Z] GC before operation: completed in 117.431 ms, heap usage 630.331 MB -> 92.081 MB. [2025-10-01T21:43:37.794Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:43:39.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:43:42.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:43:43.782Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:43:45.383Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:43:46.483Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:43:48.082Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:43:49.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:43:49.180Z] 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. [2025-10-01T21:43:49.495Z] The best model improves the baseline by 14.34%. [2025-10-01T21:43:49.495Z] Top recommended movies for user id 72: [2025-10-01T21:43:49.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:43:49.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:43:49.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:43:49.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:43:49.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:43:49.495Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13967.171 ms) ====== [2025-10-01T21:43:49.495Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-01T21:43:49.495Z] GC before operation: completed in 124.487 ms, heap usage 369.199 MB -> 88.761 MB. [2025-10-01T21:43:51.669Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:43:53.840Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:43:56.019Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:43:57.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:43:59.227Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:44:00.388Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:44:01.491Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:44:02.593Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:44:02.904Z] 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. [2025-10-01T21:44:02.904Z] The best model improves the baseline by 14.34%. [2025-10-01T21:44:03.226Z] Top recommended movies for user id 72: [2025-10-01T21:44:03.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:44:03.226Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:44:03.226Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:44:03.226Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:44:03.226Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:44:03.226Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13546.004 ms) ====== [2025-10-01T21:44:03.226Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-01T21:44:03.226Z] GC before operation: completed in 111.792 ms, heap usage 228.050 MB -> 88.552 MB. [2025-10-01T21:44:05.401Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:44:07.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:44:09.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:44:11.408Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:44:12.519Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:44:13.630Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:44:15.223Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:44:16.318Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:44:16.631Z] 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. [2025-10-01T21:44:16.631Z] The best model improves the baseline by 14.34%. [2025-10-01T21:44:16.631Z] Top recommended movies for user id 72: [2025-10-01T21:44:16.631Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:44:16.631Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:44:16.631Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:44:16.631Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:44:16.631Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:44:16.631Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13457.431 ms) ====== [2025-10-01T21:44:16.631Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-01T21:44:16.948Z] GC before operation: completed in 112.586 ms, heap usage 247.549 MB -> 88.785 MB. [2025-10-01T21:44:19.130Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:44:20.819Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:44:23.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:44:24.612Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:44:25.706Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:44:27.295Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:44:28.390Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:44:29.492Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:44:29.818Z] 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. [2025-10-01T21:44:29.818Z] The best model improves the baseline by 14.34%. [2025-10-01T21:44:29.818Z] Top recommended movies for user id 72: [2025-10-01T21:44:29.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:44:29.818Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:44:29.818Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:44:29.818Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:44:29.818Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:44:29.818Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13142.881 ms) ====== [2025-10-01T21:44:29.819Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-01T21:44:30.130Z] GC before operation: completed in 117.375 ms, heap usage 322.657 MB -> 88.987 MB. [2025-10-01T21:44:32.303Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:44:34.476Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:44:36.084Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:44:38.308Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:44:39.005Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:44:40.146Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:44:41.837Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:44:43.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:44:43.016Z] 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. [2025-10-01T21:44:43.016Z] The best model improves the baseline by 14.34%. [2025-10-01T21:44:43.016Z] Top recommended movies for user id 72: [2025-10-01T21:44:43.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:44:43.016Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:44:43.016Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:44:43.016Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:44:43.016Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:44:43.016Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13071.347 ms) ====== [2025-10-01T21:44:43.016Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-01T21:44:43.336Z] GC before operation: completed in 127.582 ms, heap usage 518.790 MB -> 92.767 MB. [2025-10-01T21:44:45.553Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:44:47.225Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:44:49.412Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:44:51.642Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:44:52.741Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:44:53.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:44:54.942Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:44:56.038Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:44:56.350Z] 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. [2025-10-01T21:44:56.350Z] The best model improves the baseline by 14.34%. [2025-10-01T21:44:56.350Z] Top recommended movies for user id 72: [2025-10-01T21:44:56.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:44:56.350Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:44:56.350Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:44:56.350Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:44:56.350Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:44:56.350Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13193.068 ms) ====== [2025-10-01T21:44:56.350Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-01T21:44:56.662Z] GC before operation: completed in 115.346 ms, heap usage 178.349 MB -> 90.975 MB. [2025-10-01T21:44:58.841Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:45:00.431Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:45:02.601Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:45:04.193Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:45:05.861Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:45:07.450Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:45:09.040Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:45:10.136Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:45:10.450Z] 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. [2025-10-01T21:45:10.450Z] The best model improves the baseline by 14.34%. [2025-10-01T21:45:10.450Z] Top recommended movies for user id 72: [2025-10-01T21:45:10.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:45:10.450Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:45:10.450Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:45:10.450Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:45:10.450Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:45:10.450Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14012.161 ms) ====== [2025-10-01T21:45:10.450Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-01T21:45:10.761Z] GC before operation: completed in 113.657 ms, heap usage 171.047 MB -> 92.174 MB. [2025-10-01T21:45:13.628Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:45:16.521Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:45:18.108Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:45:20.277Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:45:21.377Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:45:22.478Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:45:24.070Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:45:25.178Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:45:25.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-01T21:45:25.493Z] The best model improves the baseline by 14.34%. [2025-10-01T21:45:25.858Z] Top recommended movies for user id 72: [2025-10-01T21:45:25.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:45:25.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:45:25.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:45:25.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:45:25.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:45:25.858Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15014.991 ms) ====== [2025-10-01T21:45:25.858Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-01T21:45:25.858Z] GC before operation: completed in 113.249 ms, heap usage 416.196 MB -> 91.373 MB. [2025-10-01T21:45:28.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:45:29.641Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:45:31.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:45:33.408Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:45:34.533Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:45:35.628Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:45:36.722Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:45:37.834Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:45:38.145Z] 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. [2025-10-01T21:45:38.145Z] The best model improves the baseline by 14.34%. [2025-10-01T21:45:38.456Z] Top recommended movies for user id 72: [2025-10-01T21:45:38.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:45:38.457Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:45:38.457Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:45:38.457Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:45:38.457Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:45:38.457Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12484.465 ms) ====== [2025-10-01T21:45:38.457Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-01T21:45:38.457Z] GC before operation: completed in 113.225 ms, heap usage 111.667 MB -> 88.843 MB. [2025-10-01T21:45:40.626Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:45:42.241Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:45:44.413Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:45:46.000Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:45:47.096Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:45:48.192Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:45:49.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:45:50.943Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:45:50.943Z] 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. [2025-10-01T21:45:50.943Z] The best model improves the baseline by 14.34%. [2025-10-01T21:45:50.943Z] Top recommended movies for user id 72: [2025-10-01T21:45:50.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:45:50.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:45:50.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:45:50.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:45:50.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:45:50.943Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12564.842 ms) ====== [2025-10-01T21:45:50.943Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-01T21:45:51.254Z] GC before operation: completed in 121.197 ms, heap usage 451.023 MB -> 89.482 MB. [2025-10-01T21:45:52.855Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:45:55.025Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:45:57.199Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:45:58.798Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:45:59.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:46:01.002Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:46:02.105Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:46:03.204Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:46:03.204Z] 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. [2025-10-01T21:46:03.204Z] The best model improves the baseline by 14.34%. [2025-10-01T21:46:03.521Z] Top recommended movies for user id 72: [2025-10-01T21:46:03.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:46:03.521Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:46:03.521Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:46:03.521Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:46:03.521Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:46:03.521Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12336.345 ms) ====== [2025-10-01T21:46:03.521Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-01T21:46:03.521Z] GC before operation: completed in 111.977 ms, heap usage 420.993 MB -> 89.312 MB. [2025-10-01T21:46:05.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:46:07.349Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:46:08.999Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:46:10.637Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:46:12.229Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:46:12.905Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:46:14.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:46:15.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:46:15.596Z] 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. [2025-10-01T21:46:15.596Z] The best model improves the baseline by 14.34%. [2025-10-01T21:46:15.914Z] Top recommended movies for user id 72: [2025-10-01T21:46:15.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:46:15.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:46:15.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:46:15.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:46:15.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:46:15.914Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12247.477 ms) ====== [2025-10-01T21:46:15.914Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-01T21:46:15.914Z] GC before operation: completed in 111.852 ms, heap usage 149.542 MB -> 89.174 MB. [2025-10-01T21:46:18.087Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:46:19.686Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:46:21.864Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:46:23.457Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:46:24.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:46:25.652Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:46:26.751Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:46:27.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:46:28.161Z] 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. [2025-10-01T21:46:28.161Z] The best model improves the baseline by 14.34%. [2025-10-01T21:46:28.483Z] Top recommended movies for user id 72: [2025-10-01T21:46:28.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:46:28.483Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:46:28.483Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:46:28.483Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:46:28.483Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:46:28.483Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12388.808 ms) ====== [2025-10-01T21:46:28.483Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-01T21:46:28.483Z] GC before operation: completed in 117.198 ms, heap usage 113.726 MB -> 93.165 MB. [2025-10-01T21:46:30.661Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:46:32.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:46:34.463Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:46:36.061Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:46:37.163Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:46:37.839Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:46:39.429Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:46:40.526Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:46:40.526Z] 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. [2025-10-01T21:46:40.526Z] The best model improves the baseline by 14.34%. [2025-10-01T21:46:40.526Z] Top recommended movies for user id 72: [2025-10-01T21:46:40.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:46:40.526Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:46:40.526Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:46:40.526Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:46:40.526Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:46:40.526Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12172.992 ms) ====== [2025-10-01T21:46:40.526Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-01T21:46:40.838Z] GC before operation: completed in 124.525 ms, heap usage 635.103 MB -> 92.996 MB. [2025-10-01T21:46:42.439Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:46:44.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:46:46.797Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:46:48.396Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:46:49.493Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:46:50.599Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:46:51.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:46:52.807Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:46:53.190Z] 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. [2025-10-01T21:46:53.190Z] The best model improves the baseline by 14.34%. [2025-10-01T21:46:53.190Z] Top recommended movies for user id 72: [2025-10-01T21:46:53.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:46:53.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:46:53.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:46:53.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:46:53.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:46:53.190Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12420.505 ms) ====== [2025-10-01T21:46:53.190Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-01T21:46:53.190Z] GC before operation: completed in 109.668 ms, heap usage 158.867 MB -> 88.895 MB. [2025-10-01T21:46:55.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:46:56.956Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:46:59.168Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:47:00.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:47:01.911Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:47:03.011Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:47:04.110Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:47:05.209Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:47:05.521Z] 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. [2025-10-01T21:47:05.521Z] The best model improves the baseline by 14.34%. [2025-10-01T21:47:05.833Z] Top recommended movies for user id 72: [2025-10-01T21:47:05.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:47:05.834Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:47:05.834Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:47:05.834Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:47:05.834Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:47:05.834Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12471.325 ms) ====== [2025-10-01T21:47:05.834Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-01T21:47:05.834Z] GC before operation: completed in 112.273 ms, heap usage 421.759 MB -> 89.466 MB. [2025-10-01T21:47:08.012Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T21:47:09.613Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T21:47:11.790Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T21:47:13.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T21:47:14.122Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T21:47:15.223Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T21:47:16.323Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T21:47:17.423Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T21:47:17.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-01T21:47:17.735Z] The best model improves the baseline by 14.34%. [2025-10-01T21:47:18.047Z] Top recommended movies for user id 72: [2025-10-01T21:47:18.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-01T21:47:18.047Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-01T21:47:18.047Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-01T21:47:18.047Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-01T21:47:18.047Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-01T21:47:18.047Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12047.940 ms) ====== [2025-10-01T21:47:18.370Z] ----------------------------------- [2025-10-01T21:47:18.370Z] renaissance-movie-lens_0_PASSED [2025-10-01T21:47:18.370Z] ----------------------------------- [2025-10-01T21:47:18.370Z] [2025-10-01T21:47:18.370Z] TEST TEARDOWN: [2025-10-01T21:47:18.370Z] Nothing to be done for teardown. [2025-10-01T21:47:18.370Z] renaissance-movie-lens_0 Finish Time: Wed Oct 1 21:47:18 2025 Epoch Time (ms): 1759355238300