[2025-12-25T00:32:00.784Z] Running test renaissance-movie-lens_0 ... [2025-12-25T00:32:00.784Z] =============================================== [2025-12-25T00:32:00.784Z] renaissance-movie-lens_0 Start Time: Thu Dec 25 00:31:59 2025 Epoch Time (ms): 1766622719827 [2025-12-25T00:32:00.784Z] variation: NoOptions [2025-12-25T00:32:00.784Z] JVM_OPTIONS: [2025-12-25T00:32:00.784Z] { \ [2025-12-25T00:32:00.784Z] echo ""; echo "TEST SETUP:"; \ [2025-12-25T00:32:00.784Z] echo "Nothing to be done for setup."; \ [2025-12-25T00:32:00.784Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666213189860/renaissance-movie-lens_0"; \ [2025-12-25T00:32:00.784Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666213189860/renaissance-movie-lens_0"; \ [2025-12-25T00:32:00.784Z] echo ""; echo "TESTING:"; \ [2025-12-25T00:32:00.784Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666213189860/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-25T00:32:00.784Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666213189860/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-25T00:32:00.784Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-25T00:32:00.784Z] echo "Nothing to be done for teardown."; \ [2025-12-25T00:32:00.784Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666213189860/TestTargetResult"; [2025-12-25T00:32:00.784Z] [2025-12-25T00:32:00.784Z] TEST SETUP: [2025-12-25T00:32:00.784Z] Nothing to be done for setup. [2025-12-25T00:32:00.784Z] [2025-12-25T00:32:00.784Z] TESTING: [2025-12-25T00:32:06.176Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-25T00:32:11.577Z] 00:32:11.283 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. [2025-12-25T00:32:13.546Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-25T00:32:14.504Z] Training: 60056, validation: 20285, test: 19854 [2025-12-25T00:32:14.504Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-25T00:32:14.504Z] GC before operation: completed in 162.802 ms, heap usage 198.894 MB -> 75.577 MB. [2025-12-25T00:32:20.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:32:24.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:32:27.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:32:30.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:32:32.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:32:34.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:32:35.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:32:38.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:32:38.224Z] 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. [2025-12-25T00:32:39.633Z] The best model improves the baseline by 14.52%. [2025-12-25T00:32:39.633Z] Top recommended movies for user id 72: [2025-12-25T00:32:39.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:32:39.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:32:39.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:32:39.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:32:39.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:32:39.633Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23501.845 ms) ====== [2025-12-25T00:32:39.633Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-25T00:32:39.633Z] GC before operation: completed in 135.718 ms, heap usage 563.709 MB -> 90.379 MB. [2025-12-25T00:32:40.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:32:43.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:32:45.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:32:48.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:32:49.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:32:51.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:32:53.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:32:54.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:32:54.489Z] 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. [2025-12-25T00:32:55.452Z] The best model improves the baseline by 14.52%. [2025-12-25T00:32:55.452Z] Top recommended movies for user id 72: [2025-12-25T00:32:55.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:32:55.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:32:55.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:32:55.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:32:55.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:32:55.452Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17107.253 ms) ====== [2025-12-25T00:32:55.452Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-25T00:32:55.452Z] GC before operation: completed in 124.900 ms, heap usage 275.882 MB -> 90.402 MB. [2025-12-25T00:32:58.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:33:00.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:33:03.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:33:05.468Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:33:07.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:33:08.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:33:10.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:33:11.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:33:11.317Z] 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. [2025-12-25T00:33:11.317Z] The best model improves the baseline by 14.52%. [2025-12-25T00:33:11.317Z] Top recommended movies for user id 72: [2025-12-25T00:33:11.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:33:11.317Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:33:11.317Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:33:11.317Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:33:11.317Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:33:11.317Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16456.678 ms) ====== [2025-12-25T00:33:11.317Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-25T00:33:12.275Z] GC before operation: completed in 116.579 ms, heap usage 373.994 MB -> 92.713 MB. [2025-12-25T00:33:14.243Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:33:16.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:33:18.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:33:21.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:33:22.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:33:24.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:33:25.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:33:27.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:33:27.099Z] 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. [2025-12-25T00:33:27.099Z] The best model improves the baseline by 14.52%. [2025-12-25T00:33:27.099Z] Top recommended movies for user id 72: [2025-12-25T00:33:27.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:33:27.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:33:27.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:33:27.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:33:27.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:33:27.099Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15316.691 ms) ====== [2025-12-25T00:33:27.099Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-25T00:33:27.099Z] GC before operation: completed in 176.297 ms, heap usage 302.054 MB -> 91.797 MB. [2025-12-25T00:33:30.141Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:33:32.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:33:35.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:33:37.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:33:38.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:33:40.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:33:41.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:33:42.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:33:43.104Z] 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. [2025-12-25T00:33:43.104Z] The best model improves the baseline by 14.52%. [2025-12-25T00:33:43.104Z] Top recommended movies for user id 72: [2025-12-25T00:33:43.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:33:43.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:33:43.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:33:43.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:33:43.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:33:43.104Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15617.873 ms) ====== [2025-12-25T00:33:43.104Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-25T00:33:43.104Z] GC before operation: completed in 141.095 ms, heap usage 845.941 MB -> 95.082 MB. [2025-12-25T00:33:46.136Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:33:48.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:33:50.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:33:53.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:33:54.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:33:55.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:33:57.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:33:58.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:33:58.649Z] 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. [2025-12-25T00:33:58.649Z] The best model improves the baseline by 14.52%. [2025-12-25T00:33:58.649Z] Top recommended movies for user id 72: [2025-12-25T00:33:58.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:33:58.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:33:58.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:33:58.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:33:58.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:33:58.649Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15274.192 ms) ====== [2025-12-25T00:33:58.649Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-25T00:33:58.649Z] GC before operation: completed in 145.350 ms, heap usage 153.216 MB -> 95.278 MB. [2025-12-25T00:34:00.614Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:34:02.587Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:34:05.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:34:07.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:34:08.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:34:09.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:34:11.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:34:12.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:34:12.462Z] 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. [2025-12-25T00:34:13.420Z] The best model improves the baseline by 14.52%. [2025-12-25T00:34:13.420Z] Top recommended movies for user id 72: [2025-12-25T00:34:13.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:34:13.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:34:13.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:34:13.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:34:13.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:34:13.420Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14594.255 ms) ====== [2025-12-25T00:34:13.420Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-25T00:34:13.420Z] GC before operation: completed in 155.253 ms, heap usage 648.085 MB -> 93.400 MB. [2025-12-25T00:34:15.384Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:34:17.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:34:19.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:34:22.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:34:23.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:34:24.382Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:34:25.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:34:27.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:34:27.374Z] 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. [2025-12-25T00:34:27.374Z] The best model improves the baseline by 14.52%. [2025-12-25T00:34:27.374Z] Top recommended movies for user id 72: [2025-12-25T00:34:27.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:34:27.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:34:27.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:34:27.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:34:27.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:34:27.374Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14222.622 ms) ====== [2025-12-25T00:34:27.374Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-25T00:34:27.374Z] GC before operation: completed in 145.990 ms, heap usage 268.254 MB -> 95.972 MB. [2025-12-25T00:34:29.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:34:32.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:34:34.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:34:36.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:34:37.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:34:39.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:34:40.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:34:41.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:34:42.129Z] 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. [2025-12-25T00:34:42.129Z] The best model improves the baseline by 14.52%. [2025-12-25T00:34:42.129Z] Top recommended movies for user id 72: [2025-12-25T00:34:42.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:34:42.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:34:42.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:34:42.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:34:42.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:34:42.129Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14339.286 ms) ====== [2025-12-25T00:34:42.129Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-25T00:34:42.129Z] GC before operation: completed in 165.074 ms, heap usage 377.787 MB -> 92.482 MB. [2025-12-25T00:34:44.093Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:34:47.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:34:49.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:34:51.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:34:53.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:34:53.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:34:55.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:34:56.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:34:57.879Z] 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. [2025-12-25T00:34:57.879Z] The best model improves the baseline by 14.52%. [2025-12-25T00:34:57.879Z] Top recommended movies for user id 72: [2025-12-25T00:34:57.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:34:57.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:34:57.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:34:57.879Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:34:57.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:34:57.879Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15613.531 ms) ====== [2025-12-25T00:34:57.879Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-25T00:34:57.879Z] GC before operation: completed in 116.486 ms, heap usage 243.504 MB -> 91.780 MB. [2025-12-25T00:35:00.945Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:35:03.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:35:07.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:35:09.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:35:09.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:35:10.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:35:12.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:35:13.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:35:13.849Z] 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. [2025-12-25T00:35:13.849Z] The best model improves the baseline by 14.52%. [2025-12-25T00:35:14.810Z] Top recommended movies for user id 72: [2025-12-25T00:35:14.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:35:14.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:35:14.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:35:14.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:35:14.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:35:14.810Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16546.430 ms) ====== [2025-12-25T00:35:14.810Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-25T00:35:14.810Z] GC before operation: completed in 133.097 ms, heap usage 181.056 MB -> 92.558 MB. [2025-12-25T00:35:18.872Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:35:18.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:35:20.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:35:22.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:35:23.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:35:25.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:35:26.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:35:28.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:35:28.763Z] 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. [2025-12-25T00:35:28.763Z] The best model improves the baseline by 14.52%. [2025-12-25T00:35:28.763Z] Top recommended movies for user id 72: [2025-12-25T00:35:28.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:35:28.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:35:28.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:35:28.764Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:35:28.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:35:28.764Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14115.377 ms) ====== [2025-12-25T00:35:28.764Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-25T00:35:28.764Z] GC before operation: completed in 131.847 ms, heap usage 782.661 MB -> 94.028 MB. [2025-12-25T00:35:30.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:35:33.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:35:35.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:35:37.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:35:39.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:35:40.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:35:42.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:35:43.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:35:43.574Z] 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. [2025-12-25T00:35:43.574Z] The best model improves the baseline by 14.52%. [2025-12-25T00:35:43.574Z] Top recommended movies for user id 72: [2025-12-25T00:35:43.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:35:43.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:35:43.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:35:43.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:35:43.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:35:43.574Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15059.478 ms) ====== [2025-12-25T00:35:43.574Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-25T00:35:43.574Z] GC before operation: completed in 125.211 ms, heap usage 880.224 MB -> 96.913 MB. [2025-12-25T00:35:46.628Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:35:48.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:35:50.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:35:52.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:35:54.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:35:55.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:35:56.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:35:58.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:35:58.407Z] 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. [2025-12-25T00:35:58.407Z] The best model improves the baseline by 14.52%. [2025-12-25T00:35:58.407Z] Top recommended movies for user id 72: [2025-12-25T00:35:58.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:35:58.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:35:58.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:35:58.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:35:58.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:35:58.407Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14293.958 ms) ====== [2025-12-25T00:35:58.407Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-25T00:35:58.407Z] GC before operation: completed in 141.875 ms, heap usage 718.268 MB -> 93.804 MB. [2025-12-25T00:36:00.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:36:02.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:36:04.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:36:06.288Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:36:08.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:36:09.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:36:10.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:36:12.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:36:12.162Z] 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. [2025-12-25T00:36:12.162Z] The best model improves the baseline by 14.52%. [2025-12-25T00:36:12.162Z] Top recommended movies for user id 72: [2025-12-25T00:36:12.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:36:12.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:36:12.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:36:12.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:36:12.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:36:12.162Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13880.140 ms) ====== [2025-12-25T00:36:12.162Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-25T00:36:12.162Z] GC before operation: completed in 131.707 ms, heap usage 288.709 MB -> 93.565 MB. [2025-12-25T00:36:15.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:36:17.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:36:20.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:36:22.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:36:23.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:36:24.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:36:27.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:36:27.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:36:27.536Z] 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. [2025-12-25T00:36:27.536Z] The best model improves the baseline by 14.52%. [2025-12-25T00:36:28.844Z] Top recommended movies for user id 72: [2025-12-25T00:36:28.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:36:28.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:36:28.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:36:28.844Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:36:28.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:36:28.844Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15198.824 ms) ====== [2025-12-25T00:36:28.844Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-25T00:36:28.844Z] GC before operation: completed in 193.309 ms, heap usage 210.664 MB -> 93.973 MB. [2025-12-25T00:36:29.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:36:31.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:36:33.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:36:35.713Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:36:37.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:36:38.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:36:40.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:36:41.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:36:41.578Z] 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. [2025-12-25T00:36:41.578Z] The best model improves the baseline by 14.52%. [2025-12-25T00:36:41.578Z] Top recommended movies for user id 72: [2025-12-25T00:36:41.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:36:41.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:36:41.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:36:41.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:36:41.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:36:41.578Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13962.745 ms) ====== [2025-12-25T00:36:41.578Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-25T00:36:41.578Z] GC before operation: completed in 134.564 ms, heap usage 216.783 MB -> 93.562 MB. [2025-12-25T00:36:43.545Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:36:46.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:36:48.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:36:50.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:36:51.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:36:52.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:36:54.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:36:55.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:36:55.366Z] 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. [2025-12-25T00:36:55.366Z] The best model improves the baseline by 14.52%. [2025-12-25T00:36:56.325Z] Top recommended movies for user id 72: [2025-12-25T00:36:56.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:36:56.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:36:56.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:36:56.325Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:36:56.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:36:56.325Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13944.596 ms) ====== [2025-12-25T00:36:56.325Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-25T00:36:56.325Z] GC before operation: completed in 134.318 ms, heap usage 413.342 MB -> 91.956 MB. [2025-12-25T00:36:58.292Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:37:01.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:37:03.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:37:05.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:37:06.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:37:08.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:37:09.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:37:10.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:37:11.116Z] 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. [2025-12-25T00:37:11.116Z] The best model improves the baseline by 14.52%. [2025-12-25T00:37:11.116Z] Top recommended movies for user id 72: [2025-12-25T00:37:11.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:37:11.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:37:11.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:37:11.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:37:11.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:37:11.116Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14892.422 ms) ====== [2025-12-25T00:37:11.116Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-25T00:37:11.116Z] GC before operation: completed in 161.321 ms, heap usage 711.459 MB -> 96.192 MB. [2025-12-25T00:37:13.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:37:15.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:37:18.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:37:19.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:37:21.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:37:21.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:37:23.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:37:24.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:37:24.919Z] 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. [2025-12-25T00:37:24.919Z] The best model improves the baseline by 14.52%. [2025-12-25T00:37:24.919Z] Top recommended movies for user id 72: [2025-12-25T00:37:24.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:37:24.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:37:24.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:37:24.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:37:24.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:37:24.919Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14178.122 ms) ====== [2025-12-25T00:37:25.877Z] ----------------------------------- [2025-12-25T00:37:25.877Z] renaissance-movie-lens_0_PASSED [2025-12-25T00:37:25.877Z] ----------------------------------- [2025-12-25T00:37:25.877Z] [2025-12-25T00:37:25.877Z] TEST TEARDOWN: [2025-12-25T00:37:25.877Z] Nothing to be done for teardown. [2025-12-25T00:37:25.877Z] renaissance-movie-lens_0 Finish Time: Thu Dec 25 00:37:25 2025 Epoch Time (ms): 1766623045205