[2025-11-19T22:10:59.746Z] Running test renaissance-movie-lens_0 ... [2025-11-19T22:10:59.746Z] =============================================== [2025-11-19T22:10:59.746Z] renaissance-movie-lens_0 Start Time: Wed Nov 19 17:10:59 2025 Epoch Time (ms): 1763590259464 [2025-11-19T22:10:59.746Z] variation: NoOptions [2025-11-19T22:10:59.746Z] JVM_OPTIONS: [2025-11-19T22:10:59.746Z] { \ [2025-11-19T22:10:59.746Z] echo ""; echo "TEST SETUP:"; \ [2025-11-19T22:10:59.746Z] echo "Nothing to be done for setup."; \ [2025-11-19T22:10:59.747Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635896256067/renaissance-movie-lens_0"; \ [2025-11-19T22:10:59.747Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635896256067/renaissance-movie-lens_0"; \ [2025-11-19T22:10:59.747Z] echo ""; echo "TESTING:"; \ [2025-11-19T22:10:59.747Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635896256067/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-19T22:10:59.747Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635896256067/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-19T22:10:59.747Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-19T22:10:59.747Z] echo "Nothing to be done for teardown."; \ [2025-11-19T22:10:59.747Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17635896256067/TestTargetResult"; [2025-11-19T22:10:59.747Z] [2025-11-19T22:10:59.747Z] TEST SETUP: [2025-11-19T22:10:59.747Z] Nothing to be done for setup. [2025-11-19T22:10:59.747Z] [2025-11-19T22:10:59.747Z] TESTING: [2025-11-19T22:11:03.857Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-19T22:11:07.056Z] 17:11:06.781 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-19T22:11:08.371Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-19T22:11:08.371Z] Training: 60056, validation: 20285, test: 19854 [2025-11-19T22:11:08.371Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-19T22:11:08.371Z] GC before operation: completed in 71.610 ms, heap usage 290.431 MB -> 75.939 MB. [2025-11-19T22:11:12.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:11:14.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:11:16.460Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:11:18.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:11:19.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:11:20.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:11:21.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:11:22.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:11:23.060Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:11:23.060Z] The best model improves the baseline by 14.52%. [2025-11-19T22:11:23.060Z] Top recommended movies for user id 72: [2025-11-19T22:11:23.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:11:23.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:11:23.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:11:23.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:11:23.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:11:23.060Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14582.849 ms) ====== [2025-11-19T22:11:23.060Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-19T22:11:23.060Z] GC before operation: completed in 75.111 ms, heap usage 608.232 MB -> 95.905 MB. [2025-11-19T22:11:24.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:11:26.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:11:27.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:11:29.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:11:30.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:11:31.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:11:32.107Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:11:33.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:11:33.385Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:11:33.385Z] The best model improves the baseline by 14.52%. [2025-11-19T22:11:33.385Z] Top recommended movies for user id 72: [2025-11-19T22:11:33.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:11:33.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:11:33.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:11:33.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:11:33.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:11:33.385Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10245.926 ms) ====== [2025-11-19T22:11:33.385Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-19T22:11:33.385Z] GC before operation: completed in 50.213 ms, heap usage 248.701 MB -> 90.617 MB. [2025-11-19T22:11:35.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:11:36.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:11:37.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:11:39.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:11:39.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:11:40.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:11:41.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:11:42.247Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:11:42.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:11:42.614Z] The best model improves the baseline by 14.52%. [2025-11-19T22:11:42.614Z] Top recommended movies for user id 72: [2025-11-19T22:11:42.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:11:42.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:11:42.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:11:42.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:11:42.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:11:42.614Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9175.090 ms) ====== [2025-11-19T22:11:42.614Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-19T22:11:42.614Z] GC before operation: completed in 62.410 ms, heap usage 185.634 MB -> 92.669 MB. [2025-11-19T22:11:43.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:11:45.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:11:46.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:11:47.249Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:11:47.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:11:48.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:11:49.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:11:49.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:11:50.033Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:11:50.033Z] The best model improves the baseline by 14.52%. [2025-11-19T22:11:50.033Z] Top recommended movies for user id 72: [2025-11-19T22:11:50.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:11:50.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:11:50.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:11:50.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:11:50.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:11:50.033Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7282.887 ms) ====== [2025-11-19T22:11:50.033Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-19T22:11:50.033Z] GC before operation: completed in 47.081 ms, heap usage 194.170 MB -> 93.160 MB. [2025-11-19T22:11:51.305Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:11:52.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:11:53.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:11:54.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:11:54.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:11:55.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:11:56.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:11:56.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:11:56.892Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:11:56.892Z] The best model improves the baseline by 14.52%. [2025-11-19T22:11:56.892Z] Top recommended movies for user id 72: [2025-11-19T22:11:56.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:11:56.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:11:56.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:11:56.892Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:11:56.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:11:56.892Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7005.389 ms) ====== [2025-11-19T22:11:56.892Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-19T22:11:56.892Z] GC before operation: completed in 47.251 ms, heap usage 260.719 MB -> 89.964 MB. [2025-11-19T22:11:58.153Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:11:59.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:00.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:01.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:01.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:02.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:03.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:04.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:04.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:04.322Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:04.322Z] Top recommended movies for user id 72: [2025-11-19T22:12:04.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:04.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:04.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:04.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:04.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:04.322Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7276.022 ms) ====== [2025-11-19T22:12:04.322Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-19T22:12:04.322Z] GC before operation: completed in 57.635 ms, heap usage 436.060 MB -> 90.602 MB. [2025-11-19T22:12:05.613Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:06.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:08.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:09.429Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:10.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:11.009Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:11.819Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:12.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:12.623Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:12.623Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:12.984Z] Top recommended movies for user id 72: [2025-11-19T22:12:12.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:12.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:12.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:12.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:12.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:12.984Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8418.406 ms) ====== [2025-11-19T22:12:12.984Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-19T22:12:12.984Z] GC before operation: completed in 49.620 ms, heap usage 296.264 MB -> 90.314 MB. [2025-11-19T22:12:14.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:15.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:17.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:18.562Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:19.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:19.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:20.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:21.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:21.001Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:21.360Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:21.360Z] Top recommended movies for user id 72: [2025-11-19T22:12:21.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:21.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:21.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:21.360Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:21.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:21.360Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8384.174 ms) ====== [2025-11-19T22:12:21.360Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-19T22:12:21.360Z] GC before operation: completed in 45.010 ms, heap usage 222.727 MB -> 90.329 MB. [2025-11-19T22:12:22.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:23.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:24.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:25.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:26.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:26.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:27.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:28.097Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:28.097Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:28.097Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:28.097Z] Top recommended movies for user id 72: [2025-11-19T22:12:28.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:28.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:28.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:28.097Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:28.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:28.097Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6838.298 ms) ====== [2025-11-19T22:12:28.097Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-19T22:12:28.097Z] GC before operation: completed in 44.473 ms, heap usage 531.875 MB -> 95.856 MB. [2025-11-19T22:12:29.348Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:30.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:31.408Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:32.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:32.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:33.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:33.711Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:34.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:34.486Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:34.486Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:34.486Z] Top recommended movies for user id 72: [2025-11-19T22:12:34.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:34.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:34.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:34.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:34.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:34.486Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6352.328 ms) ====== [2025-11-19T22:12:34.486Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-19T22:12:34.486Z] GC before operation: completed in 41.614 ms, heap usage 270.465 MB -> 90.532 MB. [2025-11-19T22:12:35.918Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:36.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:37.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:38.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:39.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:39.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:40.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:40.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:40.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:40.722Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:41.083Z] Top recommended movies for user id 72: [2025-11-19T22:12:41.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:41.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:41.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:41.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:41.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:41.083Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6367.005 ms) ====== [2025-11-19T22:12:41.083Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-19T22:12:41.083Z] GC before operation: completed in 46.327 ms, heap usage 673.902 MB -> 93.991 MB. [2025-11-19T22:12:42.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:43.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:44.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:45.619Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:45.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:46.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:47.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:47.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:48.357Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:48.357Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:48.357Z] Top recommended movies for user id 72: [2025-11-19T22:12:48.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:48.357Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:48.357Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:48.357Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:48.357Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:48.357Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7310.063 ms) ====== [2025-11-19T22:12:48.357Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-19T22:12:48.357Z] GC before operation: completed in 47.763 ms, heap usage 204.390 MB -> 92.772 MB. [2025-11-19T22:12:49.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:50.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:52.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:12:52.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:12:53.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:12:54.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:12:55.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:12:56.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:12:56.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:12:56.085Z] The best model improves the baseline by 14.52%. [2025-11-19T22:12:56.085Z] Top recommended movies for user id 72: [2025-11-19T22:12:56.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:12:56.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:12:56.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:12:56.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:12:56.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:12:56.085Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7723.856 ms) ====== [2025-11-19T22:12:56.085Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-19T22:12:56.085Z] GC before operation: completed in 47.002 ms, heap usage 476.011 MB -> 90.899 MB. [2025-11-19T22:12:57.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:12:58.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:12:59.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:00.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:01.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:02.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:02.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:03.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:03.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:03.320Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:03.320Z] Top recommended movies for user id 72: [2025-11-19T22:13:03.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:03.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:03.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:03.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:03.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:03.320Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7332.459 ms) ====== [2025-11-19T22:13:03.320Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-19T22:13:03.320Z] GC before operation: completed in 47.602 ms, heap usage 473.772 MB -> 90.744 MB. [2025-11-19T22:13:04.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:13:05.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:13:06.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:07.164Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:07.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:08.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:09.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:09.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:09.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:09.662Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:09.662Z] Top recommended movies for user id 72: [2025-11-19T22:13:09.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:09.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:09.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:09.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:09.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:09.662Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6296.399 ms) ====== [2025-11-19T22:13:09.662Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-19T22:13:09.662Z] GC before operation: completed in 40.676 ms, heap usage 159.309 MB -> 90.626 MB. [2025-11-19T22:13:11.042Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:13:11.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:13:12.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:13.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:14.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:14.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:15.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:15.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:16.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:16.173Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:16.173Z] Top recommended movies for user id 72: [2025-11-19T22:13:16.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:16.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:16.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:16.173Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:16.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:16.173Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6300.841 ms) ====== [2025-11-19T22:13:16.173Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-19T22:13:16.173Z] GC before operation: completed in 44.758 ms, heap usage 280.117 MB -> 90.625 MB. [2025-11-19T22:13:16.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:13:18.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:13:19.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:20.016Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:20.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:21.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:21.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:22.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:22.429Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:22.429Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:22.429Z] Top recommended movies for user id 72: [2025-11-19T22:13:22.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:22.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:22.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:22.429Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:22.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:22.429Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6337.678 ms) ====== [2025-11-19T22:13:22.429Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-19T22:13:22.429Z] GC before operation: completed in 45.191 ms, heap usage 262.728 MB -> 90.591 MB. [2025-11-19T22:13:23.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:13:24.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:13:25.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:26.790Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:27.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:27.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:28.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:29.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:29.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:29.539Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:29.539Z] Top recommended movies for user id 72: [2025-11-19T22:13:29.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:29.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:29.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:29.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:29.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:29.539Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6978.542 ms) ====== [2025-11-19T22:13:29.539Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-19T22:13:29.539Z] GC before operation: completed in 48.064 ms, heap usage 261.058 MB -> 90.565 MB. [2025-11-19T22:13:30.875Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:13:31.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:13:33.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:33.923Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:34.290Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:35.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:35.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:36.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:36.617Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:36.617Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:36.617Z] Top recommended movies for user id 72: [2025-11-19T22:13:36.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:36.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:36.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:36.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:36.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:36.617Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6996.893 ms) ====== [2025-11-19T22:13:36.617Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-19T22:13:36.617Z] GC before operation: completed in 52.398 ms, heap usage 227.894 MB -> 90.523 MB. [2025-11-19T22:13:37.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:13:38.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:13:40.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:13:40.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:13:41.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:13:41.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:13:42.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:13:43.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:13:43.560Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:13:43.560Z] The best model improves the baseline by 14.52%. [2025-11-19T22:13:43.560Z] Top recommended movies for user id 72: [2025-11-19T22:13:43.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:13:43.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:13:43.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:13:43.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:13:43.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:13:43.560Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6990.240 ms) ====== [2025-11-19T22:13:43.925Z] ----------------------------------- [2025-11-19T22:13:43.925Z] renaissance-movie-lens_0_PASSED [2025-11-19T22:13:43.925Z] ----------------------------------- [2025-11-19T22:13:43.925Z] [2025-11-19T22:13:43.925Z] TEST TEARDOWN: [2025-11-19T22:13:43.925Z] Nothing to be done for teardown. [2025-11-19T22:13:43.925Z] renaissance-movie-lens_0 Finish Time: Wed Nov 19 17:13:43 2025 Epoch Time (ms): 1763590423685