[2025-12-24T22:03:29.387Z] Running test renaissance-movie-lens_0 ... [2025-12-24T22:03:29.387Z] =============================================== [2025-12-24T22:03:29.387Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 17:03:28 2025 Epoch Time (ms): 1766613808771 [2025-12-24T22:03:29.387Z] variation: NoOptions [2025-12-24T22:03:29.387Z] JVM_OPTIONS: [2025-12-24T22:03:29.387Z] { \ [2025-12-24T22:03:29.387Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T22:03:29.387Z] echo "Nothing to be done for setup."; \ [2025-12-24T22:03:29.387Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17666131073077/renaissance-movie-lens_0"; \ [2025-12-24T22:03:29.387Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17666131073077/renaissance-movie-lens_0"; \ [2025-12-24T22:03:29.387Z] echo ""; echo "TESTING:"; \ [2025-12-24T22:03:29.387Z] "/Users/admin/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17666131073077/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T22:03:29.387Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17666131073077/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T22:03:29.387Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T22:03:29.387Z] echo "Nothing to be done for teardown."; \ [2025-12-24T22:03:29.387Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17666131073077/TestTargetResult"; [2025-12-24T22:03:29.387Z] [2025-12-24T22:03:29.387Z] TEST SETUP: [2025-12-24T22:03:29.387Z] Nothing to be done for setup. [2025-12-24T22:03:29.387Z] [2025-12-24T22:03:29.387Z] TESTING: [2025-12-24T22:03:33.411Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-24T22:03:37.547Z] 17:03:37.108 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-24T22:03:38.365Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T22:03:38.726Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T22:03:38.727Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T22:03:38.727Z] GC before operation: completed in 90.982 ms, heap usage 231.572 MB -> 76.052 MB. [2025-12-24T22:03:42.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:03:44.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:03:47.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:03:49.091Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:03:49.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:03:51.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:03:52.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:03:53.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:03:53.724Z] 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. [2025-12-24T22:03:53.724Z] The best model improves the baseline by 14.52%. [2025-12-24T22:03:53.724Z] Top recommended movies for user id 72: [2025-12-24T22:03:53.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:03:53.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:03:53.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:03:53.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:03:53.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:03:53.724Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14944.671 ms) ====== [2025-12-24T22:03:53.724Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T22:03:53.724Z] GC before operation: completed in 93.873 ms, heap usage 159.465 MB -> 89.194 MB. [2025-12-24T22:03:56.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:03:58.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:04:00.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:04:02.118Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:04:03.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:04:04.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:04:05.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:04:06.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:04:07.160Z] 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. [2025-12-24T22:04:07.160Z] The best model improves the baseline by 14.52%. [2025-12-24T22:04:07.160Z] Top recommended movies for user id 72: [2025-12-24T22:04:07.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:04:07.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:04:07.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:04:07.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:04:07.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:04:07.160Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13163.872 ms) ====== [2025-12-24T22:04:07.160Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T22:04:07.160Z] GC before operation: completed in 84.006 ms, heap usage 249.083 MB -> 88.908 MB. [2025-12-24T22:04:09.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:04:11.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:04:13.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:04:14.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:04:15.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:04:16.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:04:17.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:04:19.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:04:19.185Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T22:04:19.185Z] The best model improves the baseline by 14.52%. [2025-12-24T22:04:19.555Z] Top recommended movies for user id 72: [2025-12-24T22:04:19.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:04:19.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:04:19.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:04:19.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:04:19.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:04:19.555Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12257.924 ms) ====== [2025-12-24T22:04:19.555Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T22:04:19.555Z] GC before operation: completed in 91.470 ms, heap usage 206.927 MB -> 89.540 MB. [2025-12-24T22:04:21.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:04:23.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:04:25.458Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:04:26.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:04:28.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:04:29.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:04:30.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:04:31.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:04:31.723Z] 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. [2025-12-24T22:04:31.723Z] The best model improves the baseline by 14.52%. [2025-12-24T22:04:31.723Z] Top recommended movies for user id 72: [2025-12-24T22:04:31.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:04:31.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:04:31.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:04:31.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:04:31.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:04:31.723Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12317.425 ms) ====== [2025-12-24T22:04:31.723Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T22:04:31.723Z] GC before operation: completed in 91.187 ms, heap usage 125.275 MB -> 89.727 MB. [2025-12-24T22:04:33.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:04:35.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:04:37.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:04:39.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:04:40.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:04:41.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:04:42.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:04:43.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:04:44.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T22:04:44.188Z] The best model improves the baseline by 14.52%. [2025-12-24T22:04:44.188Z] Top recommended movies for user id 72: [2025-12-24T22:04:44.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:04:44.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:04:44.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:04:44.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:04:44.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:04:44.188Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12297.884 ms) ====== [2025-12-24T22:04:44.188Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T22:04:44.188Z] GC before operation: completed in 69.477 ms, heap usage 295.021 MB -> 89.960 MB. [2025-12-24T22:04:46.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:04:48.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:04:49.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:04:51.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:04:52.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:04:53.869Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:04:54.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:04:56.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:04:56.084Z] 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. [2025-12-24T22:04:56.084Z] The best model improves the baseline by 14.52%. [2025-12-24T22:04:56.084Z] Top recommended movies for user id 72: [2025-12-24T22:04:56.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:04:56.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:04:56.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:04:56.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:04:56.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:04:56.085Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11892.296 ms) ====== [2025-12-24T22:04:56.085Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T22:04:56.085Z] GC before operation: completed in 87.681 ms, heap usage 296.819 MB -> 90.182 MB. [2025-12-24T22:04:57.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:04:59.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:05:01.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:05:03.063Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:05:03.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:05:04.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:05:06.032Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:05:06.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:05:07.229Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T22:05:07.229Z] The best model improves the baseline by 14.52%. [2025-12-24T22:05:07.229Z] Top recommended movies for user id 72: [2025-12-24T22:05:07.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:05:07.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:05:07.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:05:07.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:05:07.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:05:07.229Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10968.535 ms) ====== [2025-12-24T22:05:07.229Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T22:05:07.229Z] GC before operation: completed in 74.630 ms, heap usage 160.945 MB -> 90.015 MB. [2025-12-24T22:05:09.080Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:05:10.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:05:12.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:05:14.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:05:15.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:05:16.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:05:17.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:05:18.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:05:18.369Z] 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. [2025-12-24T22:05:18.369Z] The best model improves the baseline by 14.52%. [2025-12-24T22:05:18.743Z] Top recommended movies for user id 72: [2025-12-24T22:05:18.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:05:18.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:05:18.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:05:18.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:05:18.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:05:18.743Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11325.895 ms) ====== [2025-12-24T22:05:18.743Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T22:05:18.743Z] GC before operation: completed in 66.092 ms, heap usage 363.065 MB -> 90.500 MB. [2025-12-24T22:05:20.684Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:05:22.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:05:23.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:05:25.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:05:26.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:05:28.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:05:29.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:05:30.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:05:30.199Z] 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. [2025-12-24T22:05:30.199Z] The best model improves the baseline by 14.52%. [2025-12-24T22:05:30.199Z] Top recommended movies for user id 72: [2025-12-24T22:05:30.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:05:30.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:05:30.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:05:30.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:05:30.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:05:30.199Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11652.868 ms) ====== [2025-12-24T22:05:30.199Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T22:05:30.582Z] GC before operation: completed in 76.292 ms, heap usage 415.505 MB -> 90.385 MB. [2025-12-24T22:05:31.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:05:34.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:05:35.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:05:37.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:05:38.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:05:39.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:05:40.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:05:41.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:05:41.663Z] 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. [2025-12-24T22:05:41.663Z] The best model improves the baseline by 14.52%. [2025-12-24T22:05:41.663Z] Top recommended movies for user id 72: [2025-12-24T22:05:41.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:05:41.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:05:41.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:05:41.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:05:41.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:05:41.663Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11277.485 ms) ====== [2025-12-24T22:05:41.663Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T22:05:41.663Z] GC before operation: completed in 78.571 ms, heap usage 195.302 MB -> 90.356 MB. [2025-12-24T22:05:43.633Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:05:45.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:05:46.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:05:48.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:05:49.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:05:51.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:05:52.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:05:52.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:05:52.820Z] 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. [2025-12-24T22:05:52.820Z] The best model improves the baseline by 14.52%. [2025-12-24T22:05:53.189Z] Top recommended movies for user id 72: [2025-12-24T22:05:53.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:05:53.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:05:53.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:05:53.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:05:53.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:05:53.189Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11323.992 ms) ====== [2025-12-24T22:05:53.189Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T22:05:53.189Z] GC before operation: completed in 93.045 ms, heap usage 290.100 MB -> 90.255 MB. [2025-12-24T22:05:55.082Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:05:57.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:05:58.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:06:00.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:06:00.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:06:01.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:06:02.315Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:06:03.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:06:03.513Z] 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. [2025-12-24T22:06:03.513Z] The best model improves the baseline by 14.52%. [2025-12-24T22:06:03.513Z] Top recommended movies for user id 72: [2025-12-24T22:06:03.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:06:03.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:06:03.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:06:03.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:06:03.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:06:03.513Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10321.737 ms) ====== [2025-12-24T22:06:03.513Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T22:06:03.513Z] GC before operation: completed in 59.121 ms, heap usage 471.663 MB -> 90.752 MB. [2025-12-24T22:06:05.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:06:07.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:06:09.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:06:10.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:06:11.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:06:12.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:06:13.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:06:14.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:06:15.184Z] 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. [2025-12-24T22:06:15.184Z] The best model improves the baseline by 14.52%. [2025-12-24T22:06:15.184Z] Top recommended movies for user id 72: [2025-12-24T22:06:15.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:06:15.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:06:15.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:06:15.184Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:06:15.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:06:15.184Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11691.102 ms) ====== [2025-12-24T22:06:15.184Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T22:06:15.184Z] GC before operation: completed in 92.519 ms, heap usage 116.374 MB -> 90.416 MB. [2025-12-24T22:06:17.080Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:06:18.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:06:21.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:06:23.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:06:24.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:06:25.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:06:26.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:06:27.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:06:27.492Z] 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. [2025-12-24T22:06:27.492Z] The best model improves the baseline by 14.52%. [2025-12-24T22:06:27.492Z] Top recommended movies for user id 72: [2025-12-24T22:06:27.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:06:27.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:06:27.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:06:27.492Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:06:27.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:06:27.492Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12181.524 ms) ====== [2025-12-24T22:06:27.492Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T22:06:27.492Z] GC before operation: completed in 90.561 ms, heap usage 297.207 MB -> 90.360 MB. [2025-12-24T22:06:29.406Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:06:31.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:06:33.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:06:34.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:06:35.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:06:36.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:06:37.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:06:38.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:06:39.296Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T22:06:39.296Z] The best model improves the baseline by 14.52%. [2025-12-24T22:06:39.296Z] Top recommended movies for user id 72: [2025-12-24T22:06:39.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:06:39.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:06:39.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:06:39.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:06:39.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:06:39.296Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11596.150 ms) ====== [2025-12-24T22:06:39.296Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T22:06:39.296Z] GC before operation: completed in 77.369 ms, heap usage 476.018 MB -> 90.901 MB. [2025-12-24T22:06:41.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:06:42.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:06:44.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:06:46.183Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:06:46.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:06:48.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:06:49.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:06:50.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:06:50.634Z] 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. [2025-12-24T22:06:50.634Z] The best model improves the baseline by 14.52%. [2025-12-24T22:06:50.634Z] Top recommended movies for user id 72: [2025-12-24T22:06:50.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:06:50.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:06:50.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:06:50.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:06:50.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:06:50.634Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11306.944 ms) ====== [2025-12-24T22:06:50.634Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T22:06:50.634Z] GC before operation: completed in 80.548 ms, heap usage 460.655 MB -> 90.668 MB. [2025-12-24T22:06:52.482Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:06:54.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:06:56.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:06:57.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:06:59.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:06:59.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:07:01.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:07:02.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:07:02.468Z] 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. [2025-12-24T22:07:02.468Z] The best model improves the baseline by 14.52%. [2025-12-24T22:07:02.468Z] Top recommended movies for user id 72: [2025-12-24T22:07:02.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:07:02.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:07:02.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:07:02.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:07:02.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:07:02.468Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11842.427 ms) ====== [2025-12-24T22:07:02.468Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T22:07:02.468Z] GC before operation: completed in 68.391 ms, heap usage 207.265 MB -> 90.403 MB. [2025-12-24T22:07:04.338Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:07:06.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:07:08.071Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:07:09.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:07:10.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:07:11.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:07:12.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:07:13.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:07:13.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T22:07:13.549Z] The best model improves the baseline by 14.52%. [2025-12-24T22:07:13.924Z] Top recommended movies for user id 72: [2025-12-24T22:07:13.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:07:13.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:07:13.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:07:13.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:07:13.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:07:13.924Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11248.188 ms) ====== [2025-12-24T22:07:13.924Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T22:07:13.924Z] GC before operation: completed in 82.029 ms, heap usage 210.279 MB -> 90.281 MB. [2025-12-24T22:07:15.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:07:17.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:07:19.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:07:20.822Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:07:22.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:07:22.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:07:24.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:07:24.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:07:25.286Z] 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. [2025-12-24T22:07:25.287Z] The best model improves the baseline by 14.52%. [2025-12-24T22:07:25.287Z] Top recommended movies for user id 72: [2025-12-24T22:07:25.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:07:25.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:07:25.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:07:25.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:07:25.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:07:25.287Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11461.491 ms) ====== [2025-12-24T22:07:25.287Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T22:07:25.648Z] GC before operation: completed in 84.647 ms, heap usage 436.714 MB -> 90.762 MB. [2025-12-24T22:07:27.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:07:29.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:07:31.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:07:32.371Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:07:33.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:07:34.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:07:35.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:07:36.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:07:36.974Z] 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. [2025-12-24T22:07:36.974Z] The best model improves the baseline by 14.52%. [2025-12-24T22:07:37.353Z] Top recommended movies for user id 72: [2025-12-24T22:07:37.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T22:07:37.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T22:07:37.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T22:07:37.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T22:07:37.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T22:07:37.353Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11731.941 ms) ====== [2025-12-24T22:07:37.850Z] ----------------------------------- [2025-12-24T22:07:37.850Z] renaissance-movie-lens_0_PASSED [2025-12-24T22:07:37.850Z] ----------------------------------- [2025-12-24T22:07:37.850Z] [2025-12-24T22:07:37.850Z] TEST TEARDOWN: [2025-12-24T22:07:37.850Z] Nothing to be done for teardown. [2025-12-24T22:07:37.850Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 17:07:37 2025 Epoch Time (ms): 1766614057396