[2026-02-13T00:55:06.005Z] Running test renaissance-movie-lens_0 ... [2026-02-13T00:55:06.005Z] =============================================== [2026-02-13T00:55:06.005Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 00:55:05 2026 Epoch Time (ms): 1770944105795 [2026-02-13T00:55:06.005Z] variation: NoOptions [2026-02-13T00:55:06.005Z] JVM_OPTIONS: [2026-02-13T00:55:06.005Z] { \ [2026-02-13T00:55:06.005Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T00:55:06.005Z] echo "Nothing to be done for setup."; \ [2026-02-13T00:55:06.005Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709425858430/renaissance-movie-lens_0"; \ [2026-02-13T00:55:06.005Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709425858430/renaissance-movie-lens_0"; \ [2026-02-13T00:55:06.005Z] echo ""; echo "TESTING:"; \ [2026-02-13T00:55:06.006Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-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_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709425858430/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T00:55:06.006Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709425858430/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T00:55:06.006Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T00:55:06.006Z] echo "Nothing to be done for teardown."; \ [2026-02-13T00:55:06.006Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709425858430/TestTargetResult"; [2026-02-13T00:55:06.006Z] [2026-02-13T00:55:06.006Z] TEST SETUP: [2026-02-13T00:55:06.006Z] Nothing to be done for setup. [2026-02-13T00:55:06.006Z] [2026-02-13T00:55:06.006Z] TESTING: [2026-02-13T00:55:06.973Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T00:55:06.973Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17709425858430/renaissance-movie-lens_0/launcher-005506-6895043005606699271/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T00:55:06.973Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T00:55:06.973Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T00:55:26.476Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T00:55:35.689Z] 00:55:35.409 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. [2026-02-13T00:55:39.462Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T00:55:40.645Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T00:55:40.645Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T00:55:40.645Z] GC before operation: completed in 129.475 ms, heap usage 182.616 MB -> 75.845 MB. [2026-02-13T00:55:48.956Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:55:54.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:55:59.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:56:04.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:56:06.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:56:08.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:56:11.332Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:56:13.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:56:13.609Z] 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. [2026-02-13T00:56:13.609Z] The best model improves the baseline by 14.52%. [2026-02-13T00:56:14.576Z] Top recommended movies for user id 72: [2026-02-13T00:56:14.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:56:14.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:56:14.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:56:14.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:56:14.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:56:14.577Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34378.999 ms) ====== [2026-02-13T00:56:14.577Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T00:56:14.577Z] GC before operation: completed in 219.960 ms, heap usage 446.147 MB -> 97.196 MB. [2026-02-13T00:56:20.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:56:23.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:56:27.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:56:32.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:56:33.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:56:35.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:56:37.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:56:40.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:56:40.985Z] 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. [2026-02-13T00:56:40.985Z] The best model improves the baseline by 14.52%. [2026-02-13T00:56:40.985Z] Top recommended movies for user id 72: [2026-02-13T00:56:40.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:56:40.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:56:40.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:56:40.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:56:40.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:56:40.985Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25846.088 ms) ====== [2026-02-13T00:56:40.985Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T00:56:40.985Z] GC before operation: completed in 138.819 ms, heap usage 429.915 MB -> 88.857 MB. [2026-02-13T00:56:44.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:56:48.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:56:51.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:56:56.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:56:58.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:57:00.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:57:02.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:57:04.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:57:04.500Z] 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. [2026-02-13T00:57:04.500Z] The best model improves the baseline by 14.52%. [2026-02-13T00:57:05.688Z] Top recommended movies for user id 72: [2026-02-13T00:57:05.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:57:05.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:57:05.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:57:05.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:57:05.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:57:05.688Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24192.471 ms) ====== [2026-02-13T00:57:05.688Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T00:57:05.688Z] GC before operation: completed in 187.712 ms, heap usage 203.368 MB -> 89.165 MB. [2026-02-13T00:57:10.487Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:57:14.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:57:18.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:57:22.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:57:24.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:57:29.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:57:31.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:57:32.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:57:33.597Z] 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. [2026-02-13T00:57:33.597Z] The best model improves the baseline by 14.52%. [2026-02-13T00:57:33.597Z] Top recommended movies for user id 72: [2026-02-13T00:57:33.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:57:33.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:57:33.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:57:33.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:57:33.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:57:33.597Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27825.131 ms) ====== [2026-02-13T00:57:33.597Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T00:57:33.597Z] GC before operation: completed in 533.017 ms, heap usage 97.556 MB -> 89.964 MB. [2026-02-13T00:57:36.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:57:41.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:57:44.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:57:46.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:57:48.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:57:50.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:57:52.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:57:54.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:57:54.220Z] 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. [2026-02-13T00:57:54.220Z] The best model improves the baseline by 14.52%. [2026-02-13T00:57:54.220Z] Top recommended movies for user id 72: [2026-02-13T00:57:54.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:57:54.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:57:54.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:57:54.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:57:54.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:57:54.220Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20429.525 ms) ====== [2026-02-13T00:57:54.220Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T00:57:54.220Z] GC before operation: completed in 162.433 ms, heap usage 438.458 MB -> 89.746 MB. [2026-02-13T00:57:57.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:58:00.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:58:03.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:58:05.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:58:07.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:58:08.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:58:10.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:58:12.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:58:12.464Z] 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. [2026-02-13T00:58:12.464Z] The best model improves the baseline by 14.52%. [2026-02-13T00:58:12.464Z] Top recommended movies for user id 72: [2026-02-13T00:58:12.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:58:12.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:58:12.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:58:12.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:58:12.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:58:12.464Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18243.103 ms) ====== [2026-02-13T00:58:12.464Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T00:58:12.464Z] GC before operation: completed in 172.448 ms, heap usage 122.174 MB -> 92.245 MB. [2026-02-13T00:58:15.537Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:58:17.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:58:21.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:58:23.321Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:58:25.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:58:26.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:58:28.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:58:30.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:58:30.290Z] 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. [2026-02-13T00:58:30.290Z] The best model improves the baseline by 14.52%. [2026-02-13T00:58:30.290Z] Top recommended movies for user id 72: [2026-02-13T00:58:30.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:58:30.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:58:30.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:58:30.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:58:30.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:58:30.290Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17648.312 ms) ====== [2026-02-13T00:58:30.290Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T00:58:30.290Z] GC before operation: completed in 173.079 ms, heap usage 406.191 MB -> 89.916 MB. [2026-02-13T00:58:33.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:58:36.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:58:38.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:58:41.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:58:43.625Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:58:45.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:58:47.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:58:49.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:58:49.621Z] 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. [2026-02-13T00:58:49.621Z] The best model improves the baseline by 14.52%. [2026-02-13T00:58:50.599Z] Top recommended movies for user id 72: [2026-02-13T00:58:50.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:58:50.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:58:50.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:58:50.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:58:50.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:58:50.599Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19642.387 ms) ====== [2026-02-13T00:58:50.599Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T00:58:50.599Z] GC before operation: completed in 201.831 ms, heap usage 99.683 MB -> 90.173 MB. [2026-02-13T00:58:53.690Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:58:56.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:59:01.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:59:03.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:59:04.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:59:06.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:59:09.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:59:10.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:59:10.408Z] 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. [2026-02-13T00:59:10.408Z] The best model improves the baseline by 14.52%. [2026-02-13T00:59:11.376Z] Top recommended movies for user id 72: [2026-02-13T00:59:11.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:59:11.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:59:11.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:59:11.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:59:11.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:59:11.376Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20504.647 ms) ====== [2026-02-13T00:59:11.376Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T00:59:11.376Z] GC before operation: completed in 198.308 ms, heap usage 430.879 MB -> 90.129 MB. [2026-02-13T00:59:14.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:59:17.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:59:19.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:59:22.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:59:24.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:59:25.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:59:27.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:59:28.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:59:28.527Z] 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. [2026-02-13T00:59:28.527Z] The best model improves the baseline by 14.52%. [2026-02-13T00:59:29.499Z] Top recommended movies for user id 72: [2026-02-13T00:59:29.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:59:29.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:59:29.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:59:29.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:59:29.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:59:29.499Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17992.582 ms) ====== [2026-02-13T00:59:29.499Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T00:59:29.499Z] GC before operation: completed in 184.551 ms, heap usage 657.855 MB -> 93.810 MB. [2026-02-13T00:59:32.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:59:34.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:59:37.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:59:39.638Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:59:41.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:59:42.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:59:45.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:59:46.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:59:47.636Z] 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. [2026-02-13T00:59:47.636Z] The best model improves the baseline by 14.52%. [2026-02-13T00:59:47.636Z] Top recommended movies for user id 72: [2026-02-13T00:59:47.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:59:47.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:59:47.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:59:47.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:59:47.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:59:47.636Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18201.363 ms) ====== [2026-02-13T00:59:47.636Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T00:59:47.636Z] GC before operation: completed in 218.361 ms, heap usage 428.869 MB -> 89.980 MB. [2026-02-13T00:59:50.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:59:53.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:59:55.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:59:59.087Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:00:01.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:00:02.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:00:03.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:00:05.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:00:05.764Z] 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. [2026-02-13T01:00:06.740Z] The best model improves the baseline by 14.52%. [2026-02-13T01:00:06.742Z] Top recommended movies for user id 72: [2026-02-13T01:00:06.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:00:06.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:00:06.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:00:06.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:00:06.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:00:06.742Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18700.845 ms) ====== [2026-02-13T01:00:06.742Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T01:00:06.742Z] GC before operation: completed in 181.636 ms, heap usage 453.277 MB -> 90.333 MB. [2026-02-13T01:00:09.958Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:00:13.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:00:15.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:00:18.128Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:00:20.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:00:22.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:00:24.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:00:26.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:00:26.101Z] 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. [2026-02-13T01:00:26.101Z] The best model improves the baseline by 14.52%. [2026-02-13T01:00:26.101Z] Top recommended movies for user id 72: [2026-02-13T01:00:26.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:00:26.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:00:26.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:00:26.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:00:26.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:00:26.101Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19563.869 ms) ====== [2026-02-13T01:00:26.101Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T01:00:26.101Z] GC before operation: completed in 183.989 ms, heap usage 242.105 MB -> 90.123 MB. [2026-02-13T01:00:29.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:00:32.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:00:35.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:00:37.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:00:39.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:00:41.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:00:42.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:00:44.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:00:44.372Z] 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. [2026-02-13T01:00:44.372Z] The best model improves the baseline by 14.52%. [2026-02-13T01:00:45.340Z] Top recommended movies for user id 72: [2026-02-13T01:00:45.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:00:45.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:00:45.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:00:45.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:00:45.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:00:45.340Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18516.643 ms) ====== [2026-02-13T01:00:45.340Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T01:00:45.340Z] GC before operation: completed in 186.549 ms, heap usage 362.927 MB -> 90.164 MB. [2026-02-13T01:00:47.377Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:00:50.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:00:53.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:00:56.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:00:58.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:00:59.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:01:02.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:01:03.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:01:04.054Z] 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. [2026-02-13T01:01:04.054Z] The best model improves the baseline by 14.52%. [2026-02-13T01:01:04.054Z] Top recommended movies for user id 72: [2026-02-13T01:01:04.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:01:04.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:01:04.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:01:04.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:01:04.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:01:04.054Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18726.884 ms) ====== [2026-02-13T01:01:04.054Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T01:01:04.054Z] GC before operation: completed in 164.409 ms, heap usage 164.365 MB -> 90.267 MB. [2026-02-13T01:01:07.178Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:01:09.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:01:12.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:01:14.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:01:16.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:01:17.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:01:19.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:01:20.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:01:20.230Z] 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. [2026-02-13T01:01:20.230Z] The best model improves the baseline by 14.52%. [2026-02-13T01:01:20.230Z] Top recommended movies for user id 72: [2026-02-13T01:01:20.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:01:20.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:01:20.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:01:20.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:01:20.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:01:20.230Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16758.206 ms) ====== [2026-02-13T01:01:20.230Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T01:01:21.202Z] GC before operation: completed in 156.432 ms, heap usage 177.553 MB -> 89.928 MB. [2026-02-13T01:01:23.272Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:01:26.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:01:29.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:01:31.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:01:33.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:01:36.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:01:38.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:01:40.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:01:40.018Z] 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. [2026-02-13T01:01:40.018Z] The best model improves the baseline by 14.52%. [2026-02-13T01:01:40.018Z] Top recommended movies for user id 72: [2026-02-13T01:01:40.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:01:40.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:01:40.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:01:40.018Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:01:40.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:01:40.018Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19009.263 ms) ====== [2026-02-13T01:01:40.018Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T01:01:40.018Z] GC before operation: completed in 160.833 ms, heap usage 340.449 MB -> 90.172 MB. [2026-02-13T01:01:43.364Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:01:46.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:01:48.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:01:52.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:01:54.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:01:57.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:01:59.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:02:01.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:02:02.734Z] 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. [2026-02-13T01:02:02.734Z] The best model improves the baseline by 14.52%. [2026-02-13T01:02:02.734Z] Top recommended movies for user id 72: [2026-02-13T01:02:02.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:02:02.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:02:02.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:02:02.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:02:02.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:02:02.734Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22509.004 ms) ====== [2026-02-13T01:02:02.734Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T01:02:02.734Z] GC before operation: completed in 209.564 ms, heap usage 115.337 MB -> 90.032 MB. [2026-02-13T01:02:07.242Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:02:10.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:02:15.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:02:18.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:02:21.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:02:24.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:02:27.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:02:29.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:02:30.485Z] 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. [2026-02-13T01:02:30.485Z] The best model improves the baseline by 14.52%. [2026-02-13T01:02:30.485Z] Top recommended movies for user id 72: [2026-02-13T01:02:30.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:02:30.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:02:30.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:02:30.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:02:30.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:02:30.485Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27951.023 ms) ====== [2026-02-13T01:02:30.485Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T01:02:30.485Z] GC before operation: completed in 221.762 ms, heap usage 253.290 MB -> 90.053 MB. [2026-02-13T01:02:34.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:02:39.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:02:44.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:02:47.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:02:49.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:02:51.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:02:53.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:02:57.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:02:57.186Z] 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. [2026-02-13T01:02:57.186Z] The best model improves the baseline by 14.52%. [2026-02-13T01:02:57.186Z] Top recommended movies for user id 72: [2026-02-13T01:02:57.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:02:57.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:02:57.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:02:57.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:02:57.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:02:57.186Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26180.508 ms) ====== [2026-02-13T01:02:59.530Z] ----------------------------------- [2026-02-13T01:02:59.530Z] renaissance-movie-lens_0_PASSED [2026-02-13T01:02:59.530Z] ----------------------------------- [2026-02-13T01:02:59.530Z] [2026-02-13T01:02:59.530Z] TEST TEARDOWN: [2026-02-13T01:02:59.530Z] Nothing to be done for teardown. [2026-02-13T01:02:59.530Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 01:02:58 2026 Epoch Time (ms): 1770944578902