[2025-12-20T14:58:00.562Z] Running test renaissance-movie-lens_0 ... [2025-12-20T14:58:00.562Z] =============================================== [2025-12-20T14:58:00.562Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 14:57:59 2025 Epoch Time (ms): 1766242679387 [2025-12-20T14:58:00.562Z] variation: NoOptions [2025-12-20T14:58:00.562Z] JVM_OPTIONS: [2025-12-20T14:58:00.562Z] { \ [2025-12-20T14:58:00.562Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T14:58:00.562Z] echo "Nothing to be done for setup."; \ [2025-12-20T14:58:00.562Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662412457121/renaissance-movie-lens_0"; \ [2025-12-20T14:58:00.562Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662412457121/renaissance-movie-lens_0"; \ [2025-12-20T14:58:00.562Z] echo ""; echo "TESTING:"; \ [2025-12-20T14:58:00.562Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662412457121/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T14:58:00.562Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662412457121/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T14:58:00.562Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T14:58:00.562Z] echo "Nothing to be done for teardown."; \ [2025-12-20T14:58:00.562Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662412457121/TestTargetResult"; [2025-12-20T14:58:00.562Z] [2025-12-20T14:58:00.562Z] TEST SETUP: [2025-12-20T14:58:00.562Z] Nothing to be done for setup. [2025-12-20T14:58:00.562Z] [2025-12-20T14:58:00.562Z] TESTING: [2025-12-20T14:58:00.562Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T14:58:00.562Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17662412457121/renaissance-movie-lens_0/launcher-145759-14743219246792631649/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T14:58:00.562Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T14:58:00.562Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T14:58:04.725Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T14:58:11.425Z] 14:58:10.978 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T14:58:13.381Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T14:58:13.381Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T14:58:13.381Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T14:58:14.333Z] GC before operation: completed in 187.338 ms, heap usage 273.254 MB -> 75.784 MB. [2025-12-20T14:58:19.706Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:58:22.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:58:25.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:58:27.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:58:29.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:58:30.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:58:32.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:58:34.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:58:34.560Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T14:58:34.560Z] The best model improves the baseline by 14.52%. [2025-12-20T14:58:34.560Z] Top recommended movies for user id 72: [2025-12-20T14:58:34.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:58:34.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:58:34.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:58:34.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:58:34.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:58:34.560Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20586.489 ms) ====== [2025-12-20T14:58:34.560Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T14:58:34.560Z] GC before operation: completed in 144.384 ms, heap usage 208.171 MB -> 91.816 MB. [2025-12-20T14:58:37.582Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:58:39.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:58:41.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:58:44.529Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:58:45.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:58:47.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:58:48.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:58:50.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:58:50.351Z] 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. [2025-12-20T14:58:50.351Z] The best model improves the baseline by 14.52%. [2025-12-20T14:58:50.351Z] Top recommended movies for user id 72: [2025-12-20T14:58:50.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:58:50.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:58:50.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:58:50.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:58:50.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:58:50.351Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15906.715 ms) ====== [2025-12-20T14:58:50.351Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T14:58:50.351Z] GC before operation: completed in 129.539 ms, heap usage 200.421 MB -> 88.510 MB. [2025-12-20T14:58:53.371Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:58:55.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:58:58.021Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:59:00.038Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:59:02.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:59:02.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:59:03.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:59:05.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:59:05.863Z] 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. [2025-12-20T14:59:05.863Z] The best model improves the baseline by 14.52%. [2025-12-20T14:59:05.863Z] Top recommended movies for user id 72: [2025-12-20T14:59:05.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:59:05.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:59:05.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:59:05.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:59:05.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:59:05.863Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15251.589 ms) ====== [2025-12-20T14:59:05.863Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T14:59:05.863Z] GC before operation: completed in 133.232 ms, heap usage 255.437 MB -> 89.346 MB. [2025-12-20T14:59:07.819Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:59:09.966Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:59:12.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:59:14.939Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:59:15.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:59:17.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:59:18.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:59:20.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:59:20.792Z] 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. [2025-12-20T14:59:20.792Z] The best model improves the baseline by 14.52%. [2025-12-20T14:59:20.792Z] Top recommended movies for user id 72: [2025-12-20T14:59:20.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:59:20.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:59:20.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:59:20.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:59:20.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:59:20.792Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14977.170 ms) ====== [2025-12-20T14:59:20.792Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T14:59:20.792Z] GC before operation: completed in 150.643 ms, heap usage 204.404 MB -> 89.528 MB. [2025-12-20T14:59:23.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:59:25.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:59:27.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:59:29.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:59:31.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:59:32.608Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:59:34.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:59:35.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:59:35.512Z] 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. [2025-12-20T14:59:35.512Z] The best model improves the baseline by 14.52%. [2025-12-20T14:59:35.512Z] Top recommended movies for user id 72: [2025-12-20T14:59:35.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:59:35.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:59:35.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:59:35.512Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:59:35.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:59:35.512Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14538.525 ms) ====== [2025-12-20T14:59:35.512Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T14:59:35.512Z] GC before operation: completed in 123.481 ms, heap usage 255.881 MB -> 89.573 MB. [2025-12-20T14:59:38.531Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:59:40.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:59:42.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:59:44.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:59:45.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:59:46.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:59:48.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:59:49.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:00:00.200Z] 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. [2025-12-20T15:00:00.200Z] The best model improves the baseline by 14.52%. [2025-12-20T15:00:00.200Z] Top recommended movies for user id 72: [2025-12-20T15:00:00.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:00:00.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:00:00.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:00:00.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:00:00.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:00:00.200Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14051.523 ms) ====== [2025-12-20T15:00:00.200Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T15:00:00.200Z] GC before operation: completed in 135.746 ms, heap usage 500.169 MB -> 90.337 MB. [2025-12-20T15:00:00.200Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:00:00.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:00:00.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:00:01.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:00:01.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:00:02.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:00:03.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:00:05.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:00:05.095Z] 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. [2025-12-20T15:00:05.095Z] The best model improves the baseline by 14.52%. [2025-12-20T15:00:05.095Z] Top recommended movies for user id 72: [2025-12-20T15:00:05.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:00:05.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:00:05.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:00:05.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:00:05.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:00:05.095Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15352.920 ms) ====== [2025-12-20T15:00:05.095Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T15:00:06.053Z] GC before operation: completed in 127.503 ms, heap usage 386.035 MB -> 90.040 MB. [2025-12-20T15:00:08.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:00:09.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:00:12.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:00:14.950Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:00:15.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:00:17.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:00:18.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:00:20.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:00:20.763Z] 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. [2025-12-20T15:00:20.763Z] The best model improves the baseline by 14.52%. [2025-12-20T15:00:20.763Z] Top recommended movies for user id 72: [2025-12-20T15:00:20.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:00:20.763Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:00:20.763Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:00:20.763Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:00:20.763Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:00:20.763Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15149.344 ms) ====== [2025-12-20T15:00:20.763Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T15:00:20.763Z] GC before operation: completed in 132.607 ms, heap usage 292.947 MB -> 90.122 MB. [2025-12-20T15:00:22.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:00:25.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:00:27.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:00:29.667Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:00:31.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:00:32.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:00:34.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:00:35.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:00:35.507Z] 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. [2025-12-20T15:00:35.507Z] The best model improves the baseline by 14.52%. [2025-12-20T15:00:35.507Z] Top recommended movies for user id 72: [2025-12-20T15:00:35.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:00:35.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:00:35.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:00:35.507Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:00:35.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:00:35.507Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14994.441 ms) ====== [2025-12-20T15:00:35.507Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T15:00:36.468Z] GC before operation: completed in 137.864 ms, heap usage 255.569 MB -> 89.977 MB. [2025-12-20T15:00:38.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:00:40.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:00:42.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:00:44.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:00:45.259Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:00:46.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:00:48.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:00:49.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:00:49.130Z] 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. [2025-12-20T15:00:49.130Z] The best model improves the baseline by 14.52%. [2025-12-20T15:00:49.130Z] Top recommended movies for user id 72: [2025-12-20T15:00:49.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:00:49.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:00:49.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:00:49.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:00:49.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:00:49.130Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13499.195 ms) ====== [2025-12-20T15:00:49.130Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T15:00:52.355Z] GC before operation: completed in 128.889 ms, heap usage 444.867 MB -> 91.724 MB. [2025-12-20T15:00:52.355Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:00:53.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:00:55.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:00:57.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:00:59.201Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:01:00.156Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:01:01.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:01:03.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:01:03.099Z] 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. [2025-12-20T15:01:03.099Z] The best model improves the baseline by 14.52%. [2025-12-20T15:01:03.099Z] Top recommended movies for user id 72: [2025-12-20T15:01:03.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:01:03.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:01:03.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:01:03.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:01:03.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:01:03.099Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13564.379 ms) ====== [2025-12-20T15:01:03.099Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T15:01:03.099Z] GC before operation: completed in 136.152 ms, heap usage 217.153 MB -> 89.831 MB. [2025-12-20T15:01:05.058Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:01:07.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:01:10.042Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:01:12.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:01:12.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:01:13.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:01:15.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:01:16.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:01:17.806Z] 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. [2025-12-20T15:01:17.806Z] The best model improves the baseline by 14.52%. [2025-12-20T15:01:17.806Z] Top recommended movies for user id 72: [2025-12-20T15:01:17.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:01:17.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:01:17.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:01:17.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:01:17.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:01:17.806Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14283.080 ms) ====== [2025-12-20T15:01:17.806Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T15:01:17.806Z] GC before operation: completed in 120.176 ms, heap usage 154.398 MB -> 89.973 MB. [2025-12-20T15:01:19.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:01:21.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:01:23.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:01:25.673Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:01:27.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:01:28.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:01:29.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:01:31.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:01:31.494Z] 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. [2025-12-20T15:01:31.494Z] The best model improves the baseline by 14.52%. [2025-12-20T15:01:31.494Z] Top recommended movies for user id 72: [2025-12-20T15:01:31.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:01:31.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:01:31.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:01:31.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:01:31.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:01:31.494Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13740.063 ms) ====== [2025-12-20T15:01:31.494Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T15:01:31.494Z] GC before operation: completed in 123.306 ms, heap usage 631.320 MB -> 95.162 MB. [2025-12-20T15:01:33.459Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:01:35.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:01:38.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:01:40.398Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:01:41.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:01:43.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:01:44.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:01:45.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:01:46.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T15:01:46.199Z] The best model improves the baseline by 14.52%. [2025-12-20T15:01:46.199Z] Top recommended movies for user id 72: [2025-12-20T15:01:46.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:01:46.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:01:46.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:01:46.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:01:46.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:01:46.199Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14450.193 ms) ====== [2025-12-20T15:01:46.199Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T15:01:46.199Z] GC before operation: completed in 126.350 ms, heap usage 101.127 MB -> 92.818 MB. [2025-12-20T15:01:49.334Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:01:50.287Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:01:52.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:01:55.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:01:56.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:01:57.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:01:59.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:02:00.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:02:00.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T15:02:00.084Z] The best model improves the baseline by 14.52%. [2025-12-20T15:02:01.037Z] Top recommended movies for user id 72: [2025-12-20T15:02:01.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:02:01.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:02:01.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:02:01.037Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:02:01.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:02:01.037Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14398.399 ms) ====== [2025-12-20T15:02:01.037Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T15:02:01.037Z] GC before operation: completed in 123.280 ms, heap usage 119.627 MB -> 90.180 MB. [2025-12-20T15:02:02.992Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:02:04.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:02:06.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:02:08.931Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:02:10.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:02:11.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:02:12.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:02:14.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:02:14.752Z] 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. [2025-12-20T15:02:14.752Z] The best model improves the baseline by 14.52%. [2025-12-20T15:02:14.752Z] Top recommended movies for user id 72: [2025-12-20T15:02:14.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:02:14.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:02:14.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:02:14.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:02:14.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:02:14.752Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14081.344 ms) ====== [2025-12-20T15:02:14.752Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T15:02:14.752Z] GC before operation: completed in 131.816 ms, heap usage 421.858 MB -> 90.343 MB. [2025-12-20T15:02:16.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:02:18.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:02:21.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:02:23.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:02:24.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:02:26.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:02:27.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:02:28.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:02:29.419Z] 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. [2025-12-20T15:02:29.419Z] The best model improves the baseline by 14.52%. [2025-12-20T15:02:29.419Z] Top recommended movies for user id 72: [2025-12-20T15:02:29.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:02:29.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:02:29.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:02:29.419Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:02:29.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:02:29.419Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14361.032 ms) ====== [2025-12-20T15:02:29.419Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T15:02:29.419Z] GC before operation: completed in 135.844 ms, heap usage 461.157 MB -> 90.564 MB. [2025-12-20T15:02:31.375Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:02:33.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:02:36.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:02:38.306Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:02:39.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:02:41.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:02:44.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:02:44.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:02:44.783Z] 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. [2025-12-20T15:02:44.783Z] The best model improves the baseline by 14.52%. [2025-12-20T15:02:44.783Z] Top recommended movies for user id 72: [2025-12-20T15:02:44.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:02:44.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:02:44.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:02:44.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:02:44.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:02:44.783Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14704.899 ms) ====== [2025-12-20T15:02:44.783Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T15:02:44.783Z] GC before operation: completed in 131.328 ms, heap usage 100.653 MB -> 89.804 MB. [2025-12-20T15:02:45.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:02:47.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:02:49.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:02:51.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:02:53.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:02:54.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:02:55.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:02:57.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:02:57.500Z] 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. [2025-12-20T15:02:57.500Z] The best model improves the baseline by 14.52%. [2025-12-20T15:02:57.500Z] Top recommended movies for user id 72: [2025-12-20T15:02:57.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:02:57.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:02:57.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:02:57.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:02:57.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:02:57.500Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13211.614 ms) ====== [2025-12-20T15:02:57.500Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T15:02:57.500Z] GC before operation: completed in 131.929 ms, heap usage 565.473 MB -> 93.853 MB. [2025-12-20T15:02:59.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:03:01.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:03:03.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:03:05.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:03:06.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:03:07.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:03:09.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:03:10.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:03:10.318Z] 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. [2025-12-20T15:03:10.318Z] The best model improves the baseline by 14.52%. [2025-12-20T15:03:10.318Z] Top recommended movies for user id 72: [2025-12-20T15:03:10.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:03:10.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:03:10.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:03:10.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:03:10.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:03:10.318Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12931.021 ms) ====== [2025-12-20T15:03:11.276Z] ----------------------------------- [2025-12-20T15:03:11.276Z] renaissance-movie-lens_0_PASSED [2025-12-20T15:03:11.276Z] ----------------------------------- [2025-12-20T15:03:11.276Z] [2025-12-20T15:03:11.276Z] TEST TEARDOWN: [2025-12-20T15:03:11.276Z] Nothing to be done for teardown. [2025-12-20T15:03:11.276Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 15:03:10 2025 Epoch Time (ms): 1766242990463