[2026-02-06T02:57:10.866Z] Running test renaissance-movie-lens_0 ... [2026-02-06T02:57:10.866Z] =============================================== [2026-02-06T02:57:10.866Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 02:57:10 2026 Epoch Time (ms): 1770346630084 [2026-02-06T02:57:10.866Z] variation: NoOptions [2026-02-06T02:57:10.866Z] JVM_OPTIONS: [2026-02-06T02:57:10.866Z] { \ [2026-02-06T02:57:10.866Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T02:57:10.866Z] echo "Nothing to be done for setup."; \ [2026-02-06T02:57:10.866Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703457912451/renaissance-movie-lens_0"; \ [2026-02-06T02:57:10.866Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703457912451/renaissance-movie-lens_0"; \ [2026-02-06T02:57:10.866Z] echo ""; echo "TESTING:"; \ [2026-02-06T02:57:10.866Z] "/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_17703457912451/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T02:57:10.866Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703457912451/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T02:57:10.866Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T02:57:10.866Z] echo "Nothing to be done for teardown."; \ [2026-02-06T02:57:10.866Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703457912451/TestTargetResult"; [2026-02-06T02:57:10.866Z] [2026-02-06T02:57:10.866Z] TEST SETUP: [2026-02-06T02:57:10.866Z] Nothing to be done for setup. [2026-02-06T02:57:10.866Z] [2026-02-06T02:57:10.866Z] TESTING: [2026-02-06T02:57:10.866Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T02:57:10.866Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17703457912451/renaissance-movie-lens_0/launcher-025710-9219147345128612269/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T02:57:10.866Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T02:57:10.866Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T02:57:16.351Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-06T02:57:23.088Z] 02:57:21.731 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. [2026-02-06T02:57:24.046Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T02:57:25.007Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T02:57:25.007Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T02:57:25.007Z] GC before operation: completed in 169.880 ms, heap usage 216.153 MB -> 75.821 MB. [2026-02-06T02:57:30.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:57:33.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:57:37.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:57:39.703Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:57:41.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:57:42.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:57:44.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:57:45.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:57:46.530Z] 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. [2026-02-06T02:57:46.530Z] The best model improves the baseline by 14.52%. [2026-02-06T02:57:46.530Z] Top recommended movies for user id 72: [2026-02-06T02:57:46.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:57:46.530Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:57:46.530Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:57:46.530Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:57:46.530Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:57:46.530Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21627.388 ms) ====== [2026-02-06T02:57:46.530Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T02:57:46.530Z] GC before operation: completed in 144.801 ms, heap usage 810.860 MB -> 98.767 MB. [2026-02-06T02:57:50.627Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:57:52.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:57:54.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:57:57.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:57:59.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:58:00.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:58:02.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:58:03.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:58:04.430Z] 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. [2026-02-06T02:58:04.430Z] The best model improves the baseline by 14.52%. [2026-02-06T02:58:04.430Z] Top recommended movies for user id 72: [2026-02-06T02:58:04.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:58:04.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:58:04.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:58:04.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:58:04.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:58:04.430Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17729.166 ms) ====== [2026-02-06T02:58:04.430Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T02:58:04.430Z] GC before operation: completed in 138.136 ms, heap usage 370.356 MB -> 88.810 MB. [2026-02-06T02:58:07.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:58:09.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:58:12.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:58:14.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:58:16.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:58:17.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:58:19.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:58:20.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:58:20.508Z] 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. [2026-02-06T02:58:21.467Z] The best model improves the baseline by 14.52%. [2026-02-06T02:58:21.467Z] Top recommended movies for user id 72: [2026-02-06T02:58:21.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:58:21.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:58:21.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:58:21.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:58:21.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:58:21.468Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16598.745 ms) ====== [2026-02-06T02:58:21.468Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T02:58:21.468Z] GC before operation: completed in 137.804 ms, heap usage 521.407 MB -> 89.581 MB. [2026-02-06T02:58:23.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:58:25.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:58:28.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:58:30.422Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:58:32.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:58:33.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:58:35.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:58:36.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:58:37.289Z] 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. [2026-02-06T02:58:37.289Z] The best model improves the baseline by 14.52%. [2026-02-06T02:58:37.289Z] Top recommended movies for user id 72: [2026-02-06T02:58:37.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:58:37.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:58:37.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:58:37.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:58:37.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:58:37.289Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15701.365 ms) ====== [2026-02-06T02:58:37.289Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T02:58:37.289Z] GC before operation: completed in 180.096 ms, heap usage 396.900 MB -> 89.721 MB. [2026-02-06T02:58:39.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:58:42.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:58:44.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:58:47.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:58:48.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:58:50.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:58:51.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:58:53.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:58:53.192Z] 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. [2026-02-06T02:58:53.192Z] The best model improves the baseline by 14.52%. [2026-02-06T02:58:53.192Z] Top recommended movies for user id 72: [2026-02-06T02:58:53.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:58:53.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:58:53.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:58:53.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:58:53.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:58:53.192Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16161.041 ms) ====== [2026-02-06T02:58:53.192Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T02:58:53.192Z] GC before operation: completed in 144.998 ms, heap usage 107.412 MB -> 89.323 MB. [2026-02-06T02:58:55.166Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:58:58.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:59:00.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:59:02.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:59:03.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:59:04.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:59:06.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:59:07.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:59:07.009Z] 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. [2026-02-06T02:59:07.009Z] The best model improves the baseline by 14.52%. [2026-02-06T02:59:07.970Z] Top recommended movies for user id 72: [2026-02-06T02:59:07.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:59:07.970Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:59:07.970Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:59:07.970Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:59:07.970Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:59:07.970Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13993.204 ms) ====== [2026-02-06T02:59:07.970Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T02:59:07.970Z] GC before operation: completed in 181.205 ms, heap usage 543.909 MB -> 93.469 MB. [2026-02-06T02:59:09.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:59:11.914Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:59:13.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:59:15.878Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:59:17.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:59:19.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:59:19.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:59:21.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:59:21.690Z] 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. [2026-02-06T02:59:21.690Z] The best model improves the baseline by 14.52%. [2026-02-06T02:59:21.690Z] Top recommended movies for user id 72: [2026-02-06T02:59:21.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:59:21.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:59:21.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:59:21.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:59:21.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:59:21.690Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14070.002 ms) ====== [2026-02-06T02:59:21.690Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T02:59:21.690Z] GC before operation: completed in 128.692 ms, heap usage 192.604 MB -> 89.717 MB. [2026-02-06T02:59:23.660Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:59:25.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:59:28.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:59:30.641Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:59:31.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:59:32.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:59:33.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:59:35.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:59:35.535Z] 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. [2026-02-06T02:59:35.535Z] The best model improves the baseline by 14.52%. [2026-02-06T02:59:35.535Z] Top recommended movies for user id 72: [2026-02-06T02:59:35.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:59:35.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:59:35.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:59:35.535Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:59:35.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:59:35.535Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13643.421 ms) ====== [2026-02-06T02:59:35.535Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T02:59:35.535Z] GC before operation: completed in 145.691 ms, heap usage 366.931 MB -> 90.230 MB. [2026-02-06T02:59:37.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:59:40.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:59:42.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:59:44.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:59:46.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:59:47.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:59:48.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:59:50.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:59:50.340Z] 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. [2026-02-06T02:59:50.340Z] The best model improves the baseline by 14.52%. [2026-02-06T02:59:50.340Z] Top recommended movies for user id 72: [2026-02-06T02:59:50.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:59:50.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:59:50.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:59:50.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:59:50.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:59:50.340Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14914.542 ms) ====== [2026-02-06T02:59:50.340Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T02:59:50.340Z] GC before operation: completed in 151.198 ms, heap usage 293.935 MB -> 90.042 MB. [2026-02-06T02:59:53.377Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:59:55.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:59:57.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:59:59.354Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:00:01.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:00:02.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:00:04.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:00:05.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:00:05.389Z] 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. [2026-02-06T03:00:05.389Z] The best model improves the baseline by 14.52%. [2026-02-06T03:00:05.389Z] Top recommended movies for user id 72: [2026-02-06T03:00:05.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:00:05.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:00:05.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:00:05.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:00:05.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:00:05.389Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14979.557 ms) ====== [2026-02-06T03:00:05.389Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T03:00:05.389Z] GC before operation: completed in 141.082 ms, heap usage 639.178 MB -> 93.896 MB. [2026-02-06T03:00:08.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:00:10.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:00:12.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:00:14.359Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:00:16.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:00:17.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:00:19.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:00:20.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:00:20.285Z] 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. [2026-02-06T03:00:20.285Z] The best model improves the baseline by 14.52%. [2026-02-06T03:00:20.285Z] Top recommended movies for user id 72: [2026-02-06T03:00:20.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:00:20.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:00:20.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:00:20.285Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:00:20.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:00:20.285Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14824.028 ms) ====== [2026-02-06T03:00:20.285Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T03:00:21.257Z] GC before operation: completed in 124.759 ms, heap usage 364.980 MB -> 90.053 MB. [2026-02-06T03:00:23.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:00:25.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:00:27.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:00:29.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:00:31.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:00:32.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:00:33.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:00:35.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:00:35.174Z] 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. [2026-02-06T03:00:35.174Z] The best model improves the baseline by 14.52%. [2026-02-06T03:00:35.174Z] Top recommended movies for user id 72: [2026-02-06T03:00:35.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:00:35.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:00:35.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:00:35.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:00:35.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:00:35.174Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14499.837 ms) ====== [2026-02-06T03:00:35.174Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T03:00:35.174Z] GC before operation: completed in 126.313 ms, heap usage 367.682 MB -> 90.231 MB. [2026-02-06T03:00:38.207Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:00:40.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:00:42.143Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:00:45.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:00:45.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:00:47.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:00:48.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:00:50.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:00:50.805Z] 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. [2026-02-06T03:00:50.805Z] The best model improves the baseline by 14.52%. [2026-02-06T03:00:50.805Z] Top recommended movies for user id 72: [2026-02-06T03:00:50.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:00:50.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:00:50.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:00:50.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:00:50.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:00:50.805Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15548.312 ms) ====== [2026-02-06T03:00:50.805Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T03:00:50.805Z] GC before operation: completed in 126.501 ms, heap usage 428.758 MB -> 90.346 MB. [2026-02-06T03:00:52.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:00:55.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:00:57.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:00:59.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:01:00.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:01:02.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:01:03.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:01:04.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:01:05.648Z] 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. [2026-02-06T03:01:05.648Z] The best model improves the baseline by 14.52%. [2026-02-06T03:01:05.648Z] Top recommended movies for user id 72: [2026-02-06T03:01:05.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:01:05.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:01:05.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:01:05.648Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:01:05.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:01:05.648Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14409.670 ms) ====== [2026-02-06T03:01:05.648Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T03:01:05.648Z] GC before operation: completed in 174.607 ms, heap usage 446.025 MB -> 90.262 MB. [2026-02-06T03:01:07.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:01:10.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:01:12.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:01:17.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:01:17.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:01:17.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:01:18.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:01:19.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:01:20.891Z] 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. [2026-02-06T03:01:20.891Z] The best model improves the baseline by 14.52%. [2026-02-06T03:01:20.891Z] Top recommended movies for user id 72: [2026-02-06T03:01:20.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:01:20.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:01:20.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:01:20.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:01:20.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:01:20.891Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14967.269 ms) ====== [2026-02-06T03:01:20.891Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T03:01:20.891Z] GC before operation: completed in 129.557 ms, heap usage 343.469 MB -> 90.356 MB. [2026-02-06T03:01:22.864Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:01:25.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:01:27.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:01:29.849Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:01:30.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:01:32.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:01:33.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:01:35.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:01:35.792Z] 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. [2026-02-06T03:01:35.792Z] The best model improves the baseline by 14.52%. [2026-02-06T03:01:35.792Z] Top recommended movies for user id 72: [2026-02-06T03:01:35.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:01:35.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:01:35.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:01:35.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:01:35.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:01:35.792Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15009.113 ms) ====== [2026-02-06T03:01:35.792Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T03:01:35.792Z] GC before operation: completed in 130.109 ms, heap usage 388.896 MB -> 90.308 MB. [2026-02-06T03:01:37.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:01:39.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:01:42.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:01:44.824Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:01:45.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:01:47.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:01:48.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:01:50.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:01:50.689Z] 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. [2026-02-06T03:01:50.689Z] The best model improves the baseline by 14.52%. [2026-02-06T03:01:50.689Z] Top recommended movies for user id 72: [2026-02-06T03:01:50.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:01:50.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:01:50.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:01:50.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:01:50.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:01:50.689Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14783.616 ms) ====== [2026-02-06T03:01:50.689Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T03:01:50.689Z] GC before operation: completed in 156.887 ms, heap usage 292.311 MB -> 90.267 MB. [2026-02-06T03:01:52.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:01:55.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:01:57.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:01:59.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:02:01.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:02:02.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:02:03.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:02:05.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:02:05.607Z] 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. [2026-02-06T03:02:05.607Z] The best model improves the baseline by 14.52%. [2026-02-06T03:02:05.607Z] Top recommended movies for user id 72: [2026-02-06T03:02:05.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:02:05.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:02:05.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:02:05.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:02:05.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:02:05.607Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14833.181 ms) ====== [2026-02-06T03:02:05.607Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T03:02:05.607Z] GC before operation: completed in 133.470 ms, heap usage 412.240 MB -> 90.201 MB. [2026-02-06T03:02:07.574Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:02:10.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:02:12.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:02:14.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:02:15.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:02:17.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:02:18.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:02:19.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:02:19.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-06T03:02:19.549Z] The best model improves the baseline by 14.52%. [2026-02-06T03:02:19.549Z] Top recommended movies for user id 72: [2026-02-06T03:02:19.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:02:19.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:02:19.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:02:19.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:02:19.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:02:19.549Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13963.157 ms) ====== [2026-02-06T03:02:19.549Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T03:02:19.549Z] GC before operation: completed in 117.256 ms, heap usage 165.980 MB -> 90.041 MB. [2026-02-06T03:02:21.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:02:23.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:02:25.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:02:27.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:02:29.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:02:30.419Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:02:31.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:02:33.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:02:33.435Z] 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. [2026-02-06T03:02:33.435Z] The best model improves the baseline by 14.52%. [2026-02-06T03:02:33.435Z] Top recommended movies for user id 72: [2026-02-06T03:02:33.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T03:02:33.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T03:02:33.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T03:02:33.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T03:02:33.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T03:02:33.435Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13838.975 ms) ====== [2026-02-06T03:02:34.395Z] ----------------------------------- [2026-02-06T03:02:34.395Z] renaissance-movie-lens_0_PASSED [2026-02-06T03:02:34.395Z] ----------------------------------- [2026-02-06T03:02:34.395Z] [2026-02-06T03:02:34.395Z] TEST TEARDOWN: [2026-02-06T03:02:34.395Z] Nothing to be done for teardown. [2026-02-06T03:02:34.395Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 03:02:33 2026 Epoch Time (ms): 1770346953716