[2025-12-20T13:13:53.111Z] Running test renaissance-movie-lens_0 ... [2025-12-20T13:13:53.111Z] =============================================== [2025-12-20T13:13:53.111Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 08:13:52 2025 Epoch Time (ms): 1766236432837 [2025-12-20T13:13:53.111Z] variation: NoOptions [2025-12-20T13:13:53.111Z] JVM_OPTIONS: [2025-12-20T13:13:53.111Z] { \ [2025-12-20T13:13:53.111Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T13:13:53.111Z] echo "Nothing to be done for setup."; \ [2025-12-20T13:13:53.111Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662359595926/renaissance-movie-lens_0"; \ [2025-12-20T13:13:53.111Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662359595926/renaissance-movie-lens_0"; \ [2025-12-20T13:13:53.111Z] echo ""; echo "TESTING:"; \ [2025-12-20T13:13:53.111Z] "/Users/admin/workspace/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662359595926/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T13:13:53.111Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662359595926/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T13:13:53.111Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T13:13:53.111Z] echo "Nothing to be done for teardown."; \ [2025-12-20T13:13:53.111Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662359595926/TestTargetResult"; [2025-12-20T13:13:53.111Z] [2025-12-20T13:13:53.111Z] TEST SETUP: [2025-12-20T13:13:53.111Z] Nothing to be done for setup. [2025-12-20T13:13:53.111Z] [2025-12-20T13:13:53.111Z] TESTING: [2025-12-20T13:13:53.111Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T13:13:53.111Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17662359595926/renaissance-movie-lens_0/launcher-081352-8284393809348901121/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T13:13:53.111Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T13:13:53.111Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T13:13:55.504Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T13:13:57.900Z] 08:13:57.423 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T13:13:58.257Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T13:13:58.612Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T13:13:58.612Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T13:13:58.612Z] GC before operation: completed in 43.429 ms, heap usage 227.553 MB -> 75.905 MB. [2025-12-20T13:14:01.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:02.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:14:03.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:14:04.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:14:05.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:14:06.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:14:07.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:14:07.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:14:07.865Z] 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. [2025-12-20T13:14:07.865Z] The best model improves the baseline by 14.52%. [2025-12-20T13:14:07.865Z] Top recommended movies for user id 72: [2025-12-20T13:14:07.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:14:07.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:14:07.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:14:07.865Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:14:07.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:14:07.865Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9288.585 ms) ====== [2025-12-20T13:14:07.865Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T13:14:07.865Z] GC before operation: completed in 44.042 ms, heap usage 206.667 MB -> 86.734 MB. [2025-12-20T13:14:09.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:10.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:14:12.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:14:13.332Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:14:14.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:14:14.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:14:15.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:14:16.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:14:16.861Z] 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. [2025-12-20T13:14:16.861Z] The best model improves the baseline by 14.52%. [2025-12-20T13:14:16.861Z] Top recommended movies for user id 72: [2025-12-20T13:14:16.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:14:16.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:14:16.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:14:16.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:14:16.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:14:16.861Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8996.016 ms) ====== [2025-12-20T13:14:16.861Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T13:14:16.861Z] GC before operation: completed in 51.198 ms, heap usage 542.447 MB -> 92.323 MB. [2025-12-20T13:14:18.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:20.458Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:14:21.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:14:23.483Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:14:24.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:14:25.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:14:26.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:14:27.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:14:27.957Z] 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. [2025-12-20T13:14:27.957Z] The best model improves the baseline by 14.52%. [2025-12-20T13:14:27.957Z] Top recommended movies for user id 72: [2025-12-20T13:14:27.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:14:27.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:14:27.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:14:27.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:14:27.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:14:27.957Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11000.599 ms) ====== [2025-12-20T13:14:27.957Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T13:14:27.957Z] GC before operation: completed in 86.797 ms, heap usage 359.631 MB -> 89.561 MB. [2025-12-20T13:14:30.364Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:31.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:14:32.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:14:34.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:14:35.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:14:36.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:14:37.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:14:37.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:14:37.949Z] 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. [2025-12-20T13:14:37.949Z] The best model improves the baseline by 14.52%. [2025-12-20T13:14:37.949Z] Top recommended movies for user id 72: [2025-12-20T13:14:37.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:14:37.949Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:14:37.949Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:14:37.949Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:14:37.949Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:14:37.949Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10011.690 ms) ====== [2025-12-20T13:14:37.949Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T13:14:37.949Z] GC before operation: completed in 52.396 ms, heap usage 539.508 MB -> 93.377 MB. [2025-12-20T13:14:39.797Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:40.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:14:42.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:14:43.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:14:44.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:14:44.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:14:46.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:14:46.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:14:46.851Z] 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. [2025-12-20T13:14:46.851Z] The best model improves the baseline by 14.52%. [2025-12-20T13:14:46.851Z] Top recommended movies for user id 72: [2025-12-20T13:14:46.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:14:46.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:14:46.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:14:46.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:14:46.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:14:46.851Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8678.164 ms) ====== [2025-12-20T13:14:46.851Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T13:14:46.851Z] GC before operation: completed in 51.499 ms, heap usage 291.825 MB -> 89.720 MB. [2025-12-20T13:14:48.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:49.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:14:51.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:14:52.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:14:52.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:14:53.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:14:54.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:14:55.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:14:55.819Z] 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. [2025-12-20T13:14:55.819Z] The best model improves the baseline by 14.52%. [2025-12-20T13:14:55.819Z] Top recommended movies for user id 72: [2025-12-20T13:14:55.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:14:55.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:14:55.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:14:55.819Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:14:55.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:14:55.819Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9099.014 ms) ====== [2025-12-20T13:14:55.819Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T13:14:56.187Z] GC before operation: completed in 61.342 ms, heap usage 174.253 MB -> 89.953 MB. [2025-12-20T13:14:57.457Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:14:59.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:00.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:01.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:02.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:02.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:03.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:04.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:04.872Z] 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. [2025-12-20T13:15:04.872Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:04.872Z] Top recommended movies for user id 72: [2025-12-20T13:15:04.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:04.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:04.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:04.872Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:04.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:04.872Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8906.302 ms) ====== [2025-12-20T13:15:04.872Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T13:15:04.872Z] GC before operation: completed in 57.266 ms, heap usage 333.526 MB -> 89.981 MB. [2025-12-20T13:15:06.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:07.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:08.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:09.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:10.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:11.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:12.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:12.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:12.523Z] 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. [2025-12-20T13:15:12.523Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:12.523Z] Top recommended movies for user id 72: [2025-12-20T13:15:12.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:12.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:12.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:12.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:12.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:12.523Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7688.510 ms) ====== [2025-12-20T13:15:12.523Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T13:15:12.523Z] GC before operation: completed in 40.442 ms, heap usage 337.966 MB -> 90.177 MB. [2025-12-20T13:15:13.783Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:15.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:15.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:16.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:17.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:18.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:18.947Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:19.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:19.303Z] 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. [2025-12-20T13:15:19.659Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:19.659Z] Top recommended movies for user id 72: [2025-12-20T13:15:19.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:19.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:19.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:19.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:19.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:19.660Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6842.282 ms) ====== [2025-12-20T13:15:19.660Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T13:15:19.660Z] GC before operation: completed in 41.221 ms, heap usage 444.549 MB -> 90.387 MB. [2025-12-20T13:15:20.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:21.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:22.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:23.873Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:24.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:25.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:25.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:26.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:26.180Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T13:15:26.180Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:26.548Z] Top recommended movies for user id 72: [2025-12-20T13:15:26.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:26.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:26.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:26.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:26.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:26.548Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6788.886 ms) ====== [2025-12-20T13:15:26.548Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T13:15:26.548Z] GC before operation: completed in 43.810 ms, heap usage 174.305 MB -> 90.216 MB. [2025-12-20T13:15:27.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:28.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:29.337Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:30.617Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:31.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:31.793Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:32.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:32.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:33.288Z] 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. [2025-12-20T13:15:33.288Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:33.288Z] Top recommended movies for user id 72: [2025-12-20T13:15:33.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:33.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:33.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:33.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:33.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:33.288Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6828.381 ms) ====== [2025-12-20T13:15:33.288Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T13:15:33.288Z] GC before operation: completed in 46.668 ms, heap usage 288.167 MB -> 90.023 MB. [2025-12-20T13:15:34.514Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:35.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:36.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:37.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:38.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:38.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:39.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:40.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:40.099Z] 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. [2025-12-20T13:15:40.099Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:40.099Z] Top recommended movies for user id 72: [2025-12-20T13:15:40.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:40.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:40.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:40.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:40.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:40.099Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6841.818 ms) ====== [2025-12-20T13:15:40.099Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T13:15:40.099Z] GC before operation: completed in 45.173 ms, heap usage 116.848 MB -> 90.179 MB. [2025-12-20T13:15:41.436Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:42.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:43.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:44.359Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:44.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:45.532Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:45.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:46.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:46.726Z] 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. [2025-12-20T13:15:46.726Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:46.726Z] Top recommended movies for user id 72: [2025-12-20T13:15:46.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:46.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:46.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:46.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:46.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:46.726Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6524.481 ms) ====== [2025-12-20T13:15:46.726Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T13:15:46.726Z] GC before operation: completed in 41.671 ms, heap usage 275.696 MB -> 90.458 MB. [2025-12-20T13:15:47.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:48.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:49.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:50.720Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:51.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:52.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:52.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:15:53.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:15:53.359Z] 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. [2025-12-20T13:15:53.359Z] The best model improves the baseline by 14.52%. [2025-12-20T13:15:53.359Z] Top recommended movies for user id 72: [2025-12-20T13:15:53.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:15:53.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:15:53.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:15:53.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:15:53.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:15:53.359Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6767.556 ms) ====== [2025-12-20T13:15:53.359Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T13:15:53.726Z] GC before operation: completed in 43.157 ms, heap usage 281.249 MB -> 90.283 MB. [2025-12-20T13:15:54.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:15:55.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:15:56.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:15:57.437Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:15:58.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:15:58.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:15:59.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:16:00.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:16:00.143Z] 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. [2025-12-20T13:16:00.143Z] The best model improves the baseline by 14.52%. [2025-12-20T13:16:00.143Z] Top recommended movies for user id 72: [2025-12-20T13:16:00.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:16:00.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:16:00.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:16:00.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:16:00.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:16:00.143Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6698.736 ms) ====== [2025-12-20T13:16:00.143Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T13:16:00.143Z] GC before operation: completed in 41.232 ms, heap usage 313.322 MB -> 90.645 MB. [2025-12-20T13:16:01.462Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:16:02.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:16:03.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:16:04.560Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:16:05.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:16:05.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:16:06.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:16:07.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:16:07.000Z] 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. [2025-12-20T13:16:07.000Z] The best model improves the baseline by 14.52%. [2025-12-20T13:16:07.000Z] Top recommended movies for user id 72: [2025-12-20T13:16:07.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:16:07.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:16:07.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:16:07.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:16:07.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:16:07.000Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6877.293 ms) ====== [2025-12-20T13:16:07.000Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T13:16:07.351Z] GC before operation: completed in 45.226 ms, heap usage 128.725 MB -> 90.147 MB. [2025-12-20T13:16:08.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:16:09.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:16:10.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:16:11.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:16:11.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:16:12.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:16:13.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:16:13.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:16:13.707Z] 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. [2025-12-20T13:16:13.707Z] The best model improves the baseline by 14.52%. [2025-12-20T13:16:13.707Z] Top recommended movies for user id 72: [2025-12-20T13:16:13.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:16:13.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:16:13.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:16:13.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:16:13.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:16:13.707Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6618.212 ms) ====== [2025-12-20T13:16:13.707Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T13:16:14.065Z] GC before operation: completed in 44.943 ms, heap usage 288.982 MB -> 90.485 MB. [2025-12-20T13:16:14.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:16:16.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:16:17.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:16:18.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:16:19.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:16:20.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:16:20.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:16:21.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:16:21.231Z] 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. [2025-12-20T13:16:21.231Z] The best model improves the baseline by 14.52%. [2025-12-20T13:16:21.640Z] Top recommended movies for user id 72: [2025-12-20T13:16:21.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:16:21.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:16:21.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:16:21.640Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:16:21.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:16:21.640Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7562.388 ms) ====== [2025-12-20T13:16:21.640Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T13:16:21.640Z] GC before operation: completed in 41.490 ms, heap usage 444.759 MB -> 90.419 MB. [2025-12-20T13:16:22.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:16:23.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:16:24.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:16:25.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:16:26.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:16:26.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:16:27.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:16:27.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:16:28.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T13:16:28.321Z] The best model improves the baseline by 14.52%. [2025-12-20T13:16:28.321Z] Top recommended movies for user id 72: [2025-12-20T13:16:28.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:16:28.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:16:28.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:16:28.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:16:28.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:16:28.321Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6794.951 ms) ====== [2025-12-20T13:16:28.321Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T13:16:28.321Z] GC before operation: completed in 42.996 ms, heap usage 100.830 MB -> 90.257 MB. [2025-12-20T13:16:29.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:16:30.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:16:31.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:16:32.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:16:33.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:16:33.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:16:34.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:16:35.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:16:35.022Z] 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. [2025-12-20T13:16:35.022Z] The best model improves the baseline by 14.52%. [2025-12-20T13:16:35.022Z] Top recommended movies for user id 72: [2025-12-20T13:16:35.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:16:35.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:16:35.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:16:35.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:16:35.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:16:35.022Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6745.080 ms) ====== [2025-12-20T13:16:35.387Z] ----------------------------------- [2025-12-20T13:16:35.387Z] renaissance-movie-lens_0_PASSED [2025-12-20T13:16:35.387Z] ----------------------------------- [2025-12-20T13:16:35.387Z] [2025-12-20T13:16:35.387Z] TEST TEARDOWN: [2025-12-20T13:16:35.387Z] Nothing to be done for teardown. [2025-12-20T13:16:35.387Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 08:16:35 2025 Epoch Time (ms): 1766236595056