[2026-02-20T00:44:50.867Z] Running test renaissance-movie-lens_0 ... [2026-02-20T00:44:50.867Z] =============================================== [2026-02-20T00:44:50.867Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 00:44:50 2026 Epoch Time (ms): 1771548290220 [2026-02-20T00:44:50.867Z] variation: NoOptions [2026-02-20T00:44:50.867Z] JVM_OPTIONS: [2026-02-20T00:44:50.867Z] { \ [2026-02-20T00:44:50.867Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T00:44:50.867Z] echo "Nothing to be done for setup."; \ [2026-02-20T00:44:50.867Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17715467626968\\renaissance-movie-lens_0"; \ [2026-02-20T00:44:50.867Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17715467626968\\renaissance-movie-lens_0"; \ [2026-02-20T00:44:50.867Z] echo ""; echo "TESTING:"; \ [2026-02-20T00:44:50.867Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17715467626968\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-20T00:44:50.867Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17715467626968\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T00:44:50.867Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T00:44:50.867Z] echo "Nothing to be done for teardown."; \ [2026-02-20T00:44:50.867Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17715467626968\\TestTargetResult"; [2026-02-20T00:44:50.867Z] [2026-02-20T00:44:50.867Z] TEST SETUP: [2026-02-20T00:44:50.867Z] Nothing to be done for setup. [2026-02-20T00:44:50.867Z] [2026-02-20T00:44:50.867Z] TESTING: [2026-02-20T00:44:51.233Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-20T00:44:51.233Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17715467626968/renaissance-movie-lens_0/launcher-004450-5075058070977315703/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-20T00:44:51.233Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-20T00:44:51.233Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-20T00:45:04.647Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-20T00:45:11.593Z] 00:45:10.644 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T00:45:14.364Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T00:45:14.966Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T00:45:14.966Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T00:45:14.966Z] GC before operation: completed in 171.391 ms, heap usage 288.257 MB -> 76.112 MB. [2026-02-20T00:45:24.970Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:45:33.604Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:45:41.618Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:45:46.552Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:45:50.587Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:45:54.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:45:57.460Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:46:01.301Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:46:01.301Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:46:01.747Z] The best model improves the baseline by 14.34%. [2026-02-20T00:46:02.319Z] Top recommended movies for user id 72: [2026-02-20T00:46:02.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:46:02.319Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:46:02.319Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:46:02.319Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:46:02.319Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:46:02.319Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (47204.677 ms) ====== [2026-02-20T00:46:02.319Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T00:46:02.319Z] GC before operation: completed in 220.519 ms, heap usage 185.425 MB -> 86.071 MB. [2026-02-20T00:46:08.396Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:46:14.624Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:46:20.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:46:26.059Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:46:28.401Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:46:31.565Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:46:34.519Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:46:37.541Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:46:38.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:46:38.151Z] The best model improves the baseline by 14.34%. [2026-02-20T00:46:38.151Z] Top recommended movies for user id 72: [2026-02-20T00:46:38.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:46:38.151Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:46:38.151Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:46:38.151Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:46:38.151Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:46:38.151Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (35759.233 ms) ====== [2026-02-20T00:46:38.151Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T00:46:38.641Z] GC before operation: completed in 191.155 ms, heap usage 438.418 MB -> 91.675 MB. [2026-02-20T00:46:44.874Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:46:49.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:46:54.643Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:46:59.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:47:02.576Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:47:05.012Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:47:08.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:47:11.301Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:47:11.301Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:47:11.301Z] The best model improves the baseline by 14.34%. [2026-02-20T00:47:11.752Z] Top recommended movies for user id 72: [2026-02-20T00:47:11.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:47:11.752Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:47:11.752Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:47:11.752Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:47:11.752Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:47:11.752Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33252.301 ms) ====== [2026-02-20T00:47:11.752Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T00:47:11.752Z] GC before operation: completed in 174.524 ms, heap usage 147.048 MB -> 88.554 MB. [2026-02-20T00:47:16.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:47:21.579Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:47:27.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:47:31.511Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:47:34.581Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:47:37.611Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:47:40.627Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:47:43.093Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:47:43.449Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:47:43.449Z] The best model improves the baseline by 14.34%. [2026-02-20T00:47:44.025Z] Top recommended movies for user id 72: [2026-02-20T00:47:44.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:47:44.025Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:47:44.025Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:47:44.025Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:47:44.025Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:47:44.025Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32057.656 ms) ====== [2026-02-20T00:47:44.025Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T00:47:44.025Z] GC before operation: completed in 179.188 ms, heap usage 191.389 MB -> 88.884 MB. [2026-02-20T00:47:48.832Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:47:54.832Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:47:59.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:48:03.958Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:48:06.950Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:48:09.971Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:48:12.989Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:48:15.305Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:48:16.241Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:48:16.241Z] The best model improves the baseline by 14.34%. [2026-02-20T00:48:16.241Z] Top recommended movies for user id 72: [2026-02-20T00:48:16.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:48:16.241Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:48:16.241Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:48:16.241Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:48:16.241Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:48:16.241Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32089.110 ms) ====== [2026-02-20T00:48:16.241Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T00:48:16.241Z] GC before operation: completed in 168.875 ms, heap usage 348.587 MB -> 89.178 MB. [2026-02-20T00:48:27.210Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:48:31.990Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:48:36.915Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:48:41.717Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:48:44.741Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:48:47.067Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:48:50.082Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:48:53.070Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:48:53.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:48:53.816Z] The best model improves the baseline by 14.34%. [2026-02-20T00:48:53.816Z] Top recommended movies for user id 72: [2026-02-20T00:48:53.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:48:53.816Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:48:53.816Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:48:53.816Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:48:53.816Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:48:53.816Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37373.332 ms) ====== [2026-02-20T00:48:53.816Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T00:48:54.154Z] GC before operation: completed in 157.486 ms, heap usage 222.297 MB -> 94.981 MB. [2026-02-20T00:48:58.972Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:49:03.774Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:49:08.892Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:49:15.269Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:49:17.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:49:20.785Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:49:23.861Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:49:26.922Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:49:27.396Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:49:27.396Z] The best model improves the baseline by 14.34%. [2026-02-20T00:49:27.396Z] Top recommended movies for user id 72: [2026-02-20T00:49:27.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:49:27.396Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:49:27.396Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:49:27.396Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:49:27.396Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:49:27.396Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (33716.448 ms) ====== [2026-02-20T00:49:27.396Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T00:49:27.771Z] GC before operation: completed in 174.769 ms, heap usage 208.528 MB -> 94.296 MB. [2026-02-20T00:49:32.578Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:49:37.411Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:49:42.238Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:49:48.265Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:49:49.982Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:49:53.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:49:56.219Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:49:59.334Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:49:59.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:49:59.334Z] The best model improves the baseline by 14.34%. [2026-02-20T00:49:59.334Z] Top recommended movies for user id 72: [2026-02-20T00:49:59.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:49:59.334Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:49:59.334Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:49:59.334Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:49:59.334Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:49:59.334Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31757.285 ms) ====== [2026-02-20T00:49:59.334Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T00:49:59.705Z] GC before operation: completed in 183.526 ms, heap usage 188.691 MB -> 96.208 MB. [2026-02-20T00:50:04.499Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:50:10.479Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:50:15.653Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:50:20.471Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:50:22.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:50:25.793Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:50:28.795Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:50:31.797Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:50:31.797Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:50:31.797Z] The best model improves the baseline by 14.34%. [2026-02-20T00:50:32.311Z] Top recommended movies for user id 72: [2026-02-20T00:50:32.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:50:32.311Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:50:32.311Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:50:32.311Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:50:32.311Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:50:32.311Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32589.219 ms) ====== [2026-02-20T00:50:32.311Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T00:50:32.311Z] GC before operation: completed in 143.183 ms, heap usage 190.789 MB -> 97.136 MB. [2026-02-20T00:50:38.425Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:50:42.288Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:50:48.268Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:50:52.089Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:50:55.099Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:50:58.123Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:51:01.117Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:51:04.440Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:51:04.440Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:51:04.440Z] The best model improves the baseline by 14.34%. [2026-02-20T00:51:04.956Z] Top recommended movies for user id 72: [2026-02-20T00:51:04.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:51:04.956Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:51:04.956Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:51:04.956Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:51:04.956Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:51:04.956Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (32512.715 ms) ====== [2026-02-20T00:51:04.956Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T00:51:04.956Z] GC before operation: completed in 139.376 ms, heap usage 210.825 MB -> 89.466 MB. [2026-02-20T00:51:11.410Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:51:16.450Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:51:21.549Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:51:27.777Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:51:30.279Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:51:33.428Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:51:36.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:51:40.550Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:51:40.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:51:40.550Z] The best model improves the baseline by 14.34%. [2026-02-20T00:51:40.550Z] Top recommended movies for user id 72: [2026-02-20T00:51:40.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:51:40.550Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:51:40.550Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:51:40.550Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:51:40.550Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:51:40.550Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35457.141 ms) ====== [2026-02-20T00:51:40.550Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T00:51:40.550Z] GC before operation: completed in 136.317 ms, heap usage 267.434 MB -> 89.353 MB. [2026-02-20T00:51:46.566Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:51:51.551Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:51:56.605Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:52:02.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:52:05.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:52:08.399Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:52:11.631Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:52:15.848Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:52:15.848Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:52:15.848Z] The best model improves the baseline by 14.34%. [2026-02-20T00:52:15.848Z] Top recommended movies for user id 72: [2026-02-20T00:52:15.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:52:15.848Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:52:15.848Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:52:15.848Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:52:15.848Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:52:15.848Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35055.027 ms) ====== [2026-02-20T00:52:15.848Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T00:52:16.192Z] GC before operation: completed in 140.511 ms, heap usage 268.562 MB -> 89.559 MB. [2026-02-20T00:52:22.398Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:52:27.404Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:52:32.335Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:52:38.558Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:52:41.607Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:52:45.036Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:52:48.313Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:52:51.521Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:52:51.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:52:51.521Z] The best model improves the baseline by 14.34%. [2026-02-20T00:52:51.937Z] Top recommended movies for user id 72: [2026-02-20T00:52:51.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:52:51.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:52:51.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:52:51.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:52:51.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:52:51.937Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35983.738 ms) ====== [2026-02-20T00:52:51.937Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T00:52:51.937Z] GC before operation: completed in 138.638 ms, heap usage 269.742 MB -> 89.639 MB. [2026-02-20T00:52:57.966Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:53:03.320Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:53:09.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:53:14.502Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:53:17.500Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:53:20.679Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:53:24.757Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:53:27.209Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:53:28.263Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:53:28.263Z] The best model improves the baseline by 14.34%. [2026-02-20T00:53:28.263Z] Top recommended movies for user id 72: [2026-02-20T00:53:28.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:53:28.263Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:53:28.263Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:53:28.263Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:53:28.263Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:53:28.263Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36157.647 ms) ====== [2026-02-20T00:53:28.263Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T00:53:28.263Z] GC before operation: completed in 138.140 ms, heap usage 186.904 MB -> 89.367 MB. [2026-02-20T00:53:38.583Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:53:43.414Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:53:49.470Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:53:54.639Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:53:57.848Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:54:01.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:54:05.003Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:54:08.681Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:54:08.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:54:08.681Z] The best model improves the baseline by 14.34%. [2026-02-20T00:54:08.681Z] Top recommended movies for user id 72: [2026-02-20T00:54:08.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:54:08.681Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:54:08.681Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:54:08.682Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:54:08.682Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:54:08.682Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (40299.160 ms) ====== [2026-02-20T00:54:08.682Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T00:54:09.038Z] GC before operation: completed in 141.110 ms, heap usage 201.595 MB -> 89.629 MB. [2026-02-20T00:54:13.886Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:54:20.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:54:25.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:54:31.335Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:54:34.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:54:37.777Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:54:41.033Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:54:44.249Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:54:44.249Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:54:44.249Z] The best model improves the baseline by 14.34%. [2026-02-20T00:54:44.696Z] Top recommended movies for user id 72: [2026-02-20T00:54:44.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:54:44.697Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:54:44.697Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:54:44.697Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:54:44.697Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:54:44.697Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35903.367 ms) ====== [2026-02-20T00:54:44.697Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T00:54:44.697Z] GC before operation: completed in 144.260 ms, heap usage 269.320 MB -> 89.661 MB. [2026-02-20T00:54:51.003Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:54:55.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:55:02.153Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:55:07.020Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:55:10.356Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:55:13.531Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:55:16.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:55:19.231Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:55:19.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:55:19.573Z] The best model improves the baseline by 14.34%. [2026-02-20T00:55:20.140Z] Top recommended movies for user id 72: [2026-02-20T00:55:20.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:55:20.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:55:20.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:55:20.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:55:20.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:55:20.140Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35211.736 ms) ====== [2026-02-20T00:55:20.140Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T00:55:20.476Z] GC before operation: completed in 144.065 ms, heap usage 173.105 MB -> 89.539 MB. [2026-02-20T00:55:25.269Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:55:30.079Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:55:34.919Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:55:39.765Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:55:42.065Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:55:45.084Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:55:48.160Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:55:50.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:55:50.812Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:55:50.812Z] The best model improves the baseline by 14.34%. [2026-02-20T00:55:51.273Z] Top recommended movies for user id 72: [2026-02-20T00:55:51.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:55:51.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:55:51.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:55:51.273Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:55:51.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:55:51.273Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (31065.693 ms) ====== [2026-02-20T00:55:51.273Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T00:55:51.273Z] GC before operation: completed in 145.684 ms, heap usage 491.839 MB -> 93.078 MB. [2026-02-20T00:55:56.063Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:56:02.190Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:56:06.054Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:56:10.871Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:56:13.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:56:16.200Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:56:19.220Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:56:22.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:56:22.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:56:22.716Z] The best model improves the baseline by 14.34%. [2026-02-20T00:56:22.716Z] Top recommended movies for user id 72: [2026-02-20T00:56:22.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:56:22.716Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:56:22.716Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:56:22.716Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:56:22.716Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:56:22.716Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31543.401 ms) ====== [2026-02-20T00:56:22.716Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T00:56:23.229Z] GC before operation: completed in 144.439 ms, heap usage 245.758 MB -> 89.523 MB. [2026-02-20T00:56:28.003Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:56:32.816Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:56:37.644Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:56:42.461Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:56:45.454Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:56:47.725Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:56:50.782Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:56:53.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:56:53.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T00:56:53.780Z] The best model improves the baseline by 14.34%. [2026-02-20T00:56:54.122Z] Top recommended movies for user id 72: [2026-02-20T00:56:54.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T00:56:54.122Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T00:56:54.122Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T00:56:54.122Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T00:56:54.122Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T00:56:54.122Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31089.140 ms) ====== [2026-02-20T00:56:54.466Z] ----------------------------------- [2026-02-20T00:56:54.466Z] renaissance-movie-lens_0_PASSED [2026-02-20T00:56:54.466Z] ----------------------------------- [2026-02-20T00:56:54.793Z] [2026-02-20T00:56:54.793Z] TEST TEARDOWN: [2026-02-20T00:56:54.793Z] Nothing to be done for teardown. [2026-02-20T00:56:54.793Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 00:56:54 2026 Epoch Time (ms): 1771549014632