[2026-02-14T19:14:39.844Z] Running test renaissance-movie-lens_0 ... [2026-02-14T19:14:39.844Z] =============================================== [2026-02-14T19:14:39.844Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 19:14:39 2026 Epoch Time (ms): 1771096479541 [2026-02-14T19:14:39.844Z] variation: NoOptions [2026-02-14T19:14:39.844Z] JVM_OPTIONS: [2026-02-14T19:14:39.844Z] { \ [2026-02-14T19:14:39.844Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T19:14:39.844Z] echo "Nothing to be done for setup."; \ [2026-02-14T19:14:39.844Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17710953335118/renaissance-movie-lens_0"; \ [2026-02-14T19:14:39.844Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17710953335118/renaissance-movie-lens_0"; \ [2026-02-14T19:14:39.844Z] echo ""; echo "TESTING:"; \ [2026-02-14T19:14:39.844Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/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_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17710953335118/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T19:14:39.844Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17710953335118/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T19:14:39.844Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T19:14:39.844Z] echo "Nothing to be done for teardown."; \ [2026-02-14T19:14:39.844Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17710953335118/TestTargetResult"; [2026-02-14T19:14:39.844Z] [2026-02-14T19:14:39.844Z] TEST SETUP: [2026-02-14T19:14:39.844Z] Nothing to be done for setup. [2026-02-14T19:14:39.844Z] [2026-02-14T19:14:39.844Z] TESTING: [2026-02-14T19:14:41.477Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-14T19:14:41.477Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17710953335118/renaissance-movie-lens_0/launcher-191439-9003040400280358872/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-14T19:14:41.477Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-14T19:14:41.477Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-14T19:15:00.594Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-02-14T19:15:10.682Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T19:15:11.474Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T19:15:11.474Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T19:15:11.474Z] GC before operation: completed in 138.539 ms, heap usage 440.929 MB -> 75.235 MB. [2026-02-14T19:15:17.209Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:15:20.907Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:15:24.422Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:15:27.948Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:15:30.504Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:15:32.143Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:15:34.682Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:15:36.332Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:15:36.332Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:15:36.332Z] The best model improves the baseline by 14.43%. [2026-02-14T19:15:37.669Z] Top recommended movies for user id 72: [2026-02-14T19:15:37.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:15:37.670Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:15:37.670Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:15:37.670Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:15:37.670Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:15:37.670Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25149.457 ms) ====== [2026-02-14T19:15:37.670Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T19:15:37.670Z] GC before operation: completed in 149.925 ms, heap usage 372.053 MB -> 89.930 MB. [2026-02-14T19:15:40.185Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:15:43.727Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:15:47.244Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:15:50.765Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:15:52.402Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:15:54.938Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:15:57.494Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:16:00.041Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:16:00.041Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:16:00.041Z] The best model improves the baseline by 14.43%. [2026-02-14T19:16:00.831Z] Top recommended movies for user id 72: [2026-02-14T19:16:00.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:16:00.831Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:16:00.831Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:16:00.831Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:16:00.831Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:16:00.831Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23504.492 ms) ====== [2026-02-14T19:16:00.832Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T19:16:00.832Z] GC before operation: completed in 147.053 ms, heap usage 1.234 GB -> 94.469 MB. [2026-02-14T19:16:03.370Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:16:06.880Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:16:10.395Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:16:13.906Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:16:15.545Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:16:17.179Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:16:18.814Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:16:20.451Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:16:21.243Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:16:21.243Z] The best model improves the baseline by 14.43%. [2026-02-14T19:16:21.243Z] Top recommended movies for user id 72: [2026-02-14T19:16:21.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:16:21.243Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:16:21.243Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:16:21.243Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:16:21.243Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:16:21.243Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20526.420 ms) ====== [2026-02-14T19:16:21.243Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T19:16:21.243Z] GC before operation: completed in 156.904 ms, heap usage 1.112 GB -> 94.883 MB. [2026-02-14T19:16:24.756Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:16:27.289Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:16:30.809Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:16:34.325Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:16:35.957Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:16:38.515Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:16:40.148Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:16:42.688Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:16:42.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:16:42.688Z] The best model improves the baseline by 14.43%. [2026-02-14T19:16:42.688Z] Top recommended movies for user id 72: [2026-02-14T19:16:42.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:16:42.688Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:16:42.688Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:16:42.688Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:16:42.688Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:16:42.688Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21388.954 ms) ====== [2026-02-14T19:16:42.688Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T19:16:42.688Z] GC before operation: completed in 123.961 ms, heap usage 144.819 MB -> 90.747 MB. [2026-02-14T19:16:46.202Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:16:48.738Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:16:54.391Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:16:56.026Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:16:57.663Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:16:59.295Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:17:02.805Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:17:04.444Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:17:04.445Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:17:04.445Z] The best model improves the baseline by 14.43%. [2026-02-14T19:17:05.234Z] Top recommended movies for user id 72: [2026-02-14T19:17:05.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:17:05.234Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:17:05.234Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:17:05.234Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:17:05.234Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:17:05.234Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22136.220 ms) ====== [2026-02-14T19:17:05.234Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T19:17:05.234Z] GC before operation: completed in 127.772 ms, heap usage 111.486 MB -> 90.457 MB. [2026-02-14T19:17:07.773Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:17:11.307Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:17:14.817Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:17:18.337Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:17:19.984Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:17:21.619Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:17:24.166Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:17:25.810Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:17:26.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:17:26.604Z] The best model improves the baseline by 14.43%. [2026-02-14T19:17:26.604Z] Top recommended movies for user id 72: [2026-02-14T19:17:26.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:17:26.604Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:17:26.604Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:17:26.604Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:17:26.604Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:17:26.604Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21437.210 ms) ====== [2026-02-14T19:17:26.604Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T19:17:26.604Z] GC before operation: completed in 123.656 ms, heap usage 324.261 MB -> 90.831 MB. [2026-02-14T19:17:30.111Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:17:32.650Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:17:37.227Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:17:39.763Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:17:41.397Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:17:43.035Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:17:45.575Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:17:47.208Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:17:47.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:17:47.208Z] The best model improves the baseline by 14.43%. [2026-02-14T19:17:48.009Z] Top recommended movies for user id 72: [2026-02-14T19:17:48.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:17:48.009Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:17:48.009Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:17:48.009Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:17:48.009Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:17:48.009Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21040.002 ms) ====== [2026-02-14T19:17:48.009Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T19:17:48.009Z] GC before operation: completed in 145.208 ms, heap usage 259.355 MB -> 90.670 MB. [2026-02-14T19:17:50.577Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:17:54.087Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:17:57.596Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:18:01.113Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:18:02.746Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:18:04.389Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:18:08.842Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:18:10.475Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:18:10.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:18:10.475Z] The best model improves the baseline by 14.43%. [2026-02-14T19:18:10.475Z] Top recommended movies for user id 72: [2026-02-14T19:18:10.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:18:10.475Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:18:10.475Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:18:10.475Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:18:10.475Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:18:10.475Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22986.042 ms) ====== [2026-02-14T19:18:10.475Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T19:18:11.265Z] GC before operation: completed in 123.786 ms, heap usage 270.028 MB -> 90.926 MB. [2026-02-14T19:18:13.793Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:18:17.311Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:18:20.826Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:18:24.342Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:18:25.975Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:18:27.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:18:30.161Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:18:31.806Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:18:31.806Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:18:31.806Z] The best model improves the baseline by 14.43%. [2026-02-14T19:18:31.806Z] Top recommended movies for user id 72: [2026-02-14T19:18:31.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:18:31.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:18:31.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:18:31.806Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:18:31.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:18:31.806Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21215.210 ms) ====== [2026-02-14T19:18:31.806Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T19:18:32.596Z] GC before operation: completed in 124.130 ms, heap usage 132.600 MB -> 90.741 MB. [2026-02-14T19:18:35.135Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:18:37.695Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:18:42.258Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:18:44.799Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:18:46.433Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:18:48.065Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:18:50.598Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:18:52.236Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:18:52.236Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:18:52.236Z] The best model improves the baseline by 14.43%. [2026-02-14T19:18:52.236Z] Top recommended movies for user id 72: [2026-02-14T19:18:52.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:18:52.236Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:18:52.236Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:18:52.236Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:18:52.236Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:18:52.236Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20166.256 ms) ====== [2026-02-14T19:18:52.236Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T19:18:52.236Z] GC before operation: completed in 135.834 ms, heap usage 2.753 GB -> 97.386 MB. [2026-02-14T19:18:55.753Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:18:58.296Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:19:01.819Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:19:05.328Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:19:06.985Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:19:08.654Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:19:11.202Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:19:12.838Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:19:13.627Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:19:13.627Z] The best model improves the baseline by 14.43%. [2026-02-14T19:19:13.627Z] Top recommended movies for user id 72: [2026-02-14T19:19:13.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:19:13.627Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:19:13.628Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:19:13.628Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:19:13.628Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:19:13.628Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21024.151 ms) ====== [2026-02-14T19:19:13.628Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T19:19:13.628Z] GC before operation: completed in 129.484 ms, heap usage 113.351 MB -> 90.719 MB. [2026-02-14T19:19:17.142Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:19:19.681Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:19:23.386Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:19:28.256Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:19:28.256Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:19:30.795Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:19:32.436Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:19:34.968Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:19:34.968Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:19:34.968Z] The best model improves the baseline by 14.43%. [2026-02-14T19:19:34.968Z] Top recommended movies for user id 72: [2026-02-14T19:19:34.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:19:34.968Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:19:34.969Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:19:34.969Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:19:34.969Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:19:34.969Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21432.789 ms) ====== [2026-02-14T19:19:34.969Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T19:19:34.969Z] GC before operation: completed in 149.517 ms, heap usage 286.319 MB -> 90.986 MB. [2026-02-14T19:19:38.477Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:19:42.007Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:19:45.568Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:19:48.111Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:19:50.656Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:19:52.293Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:19:54.848Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:19:56.488Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:19:56.488Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:19:56.488Z] The best model improves the baseline by 14.43%. [2026-02-14T19:19:56.488Z] Top recommended movies for user id 72: [2026-02-14T19:19:56.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:19:56.488Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:19:56.488Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:19:56.488Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:19:56.488Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:19:56.488Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21345.774 ms) ====== [2026-02-14T19:19:56.488Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T19:19:56.488Z] GC before operation: completed in 124.722 ms, heap usage 308.563 MB -> 91.310 MB. [2026-02-14T19:20:00.006Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:20:03.521Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:20:07.045Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:20:09.595Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:20:12.137Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:20:13.768Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:20:17.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:20:18.921Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:20:19.713Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:20:19.713Z] The best model improves the baseline by 14.43%. [2026-02-14T19:20:19.713Z] Top recommended movies for user id 72: [2026-02-14T19:20:19.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:20:19.713Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:20:19.713Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:20:19.713Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:20:19.713Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:20:19.713Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23011.387 ms) ====== [2026-02-14T19:20:19.713Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T19:20:19.713Z] GC before operation: completed in 128.907 ms, heap usage 318.438 MB -> 91.395 MB. [2026-02-14T19:20:23.240Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:20:26.753Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:20:30.268Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:20:34.399Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:20:35.189Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:20:35.981Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:20:38.528Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:20:40.338Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:20:40.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:20:40.338Z] The best model improves the baseline by 14.43%. [2026-02-14T19:20:41.129Z] Top recommended movies for user id 72: [2026-02-14T19:20:41.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:20:41.129Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:20:41.129Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:20:41.129Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:20:41.129Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:20:41.129Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20910.477 ms) ====== [2026-02-14T19:20:41.129Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T19:20:41.129Z] GC before operation: completed in 131.527 ms, heap usage 2.269 GB -> 97.878 MB. [2026-02-14T19:20:43.701Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:20:47.224Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:20:50.750Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:20:53.287Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:20:55.887Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:20:57.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:20:59.160Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:21:01.698Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:21:01.698Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:21:01.698Z] The best model improves the baseline by 14.43%. [2026-02-14T19:21:01.698Z] Top recommended movies for user id 72: [2026-02-14T19:21:01.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:21:01.698Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:21:01.698Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:21:01.698Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:21:01.698Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:21:01.698Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20796.957 ms) ====== [2026-02-14T19:21:01.698Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T19:21:01.698Z] GC before operation: completed in 135.420 ms, heap usage 368.861 MB -> 91.371 MB. [2026-02-14T19:21:05.217Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:21:07.759Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:21:12.032Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:21:14.570Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:21:16.210Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:21:17.848Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:21:21.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:21:22.993Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:21:23.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:21:23.784Z] The best model improves the baseline by 14.43%. [2026-02-14T19:21:23.784Z] Top recommended movies for user id 72: [2026-02-14T19:21:23.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:21:23.784Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:21:23.784Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:21:23.784Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:21:23.784Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:21:23.784Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21875.017 ms) ====== [2026-02-14T19:21:23.784Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T19:21:23.784Z] GC before operation: completed in 122.302 ms, heap usage 271.982 MB -> 91.359 MB. [2026-02-14T19:21:27.289Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:21:29.829Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:21:34.409Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:21:36.944Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:21:38.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:21:40.316Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:21:42.853Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:21:44.491Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:21:45.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:21:45.288Z] The best model improves the baseline by 14.43%. [2026-02-14T19:21:45.288Z] Top recommended movies for user id 72: [2026-02-14T19:21:45.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:21:45.288Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:21:45.288Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:21:45.288Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:21:45.288Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:21:45.288Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21191.986 ms) ====== [2026-02-14T19:21:45.288Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T19:21:45.288Z] GC before operation: completed in 133.588 ms, heap usage 112.833 MB -> 90.953 MB. [2026-02-14T19:21:47.820Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:21:52.772Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:21:55.318Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:21:57.853Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:21:59.495Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:22:02.035Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:22:03.668Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:22:05.300Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:22:06.091Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:22:06.092Z] The best model improves the baseline by 14.43%. [2026-02-14T19:22:06.092Z] Top recommended movies for user id 72: [2026-02-14T19:22:06.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:22:06.092Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:22:06.092Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:22:06.092Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:22:06.092Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:22:06.092Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20643.095 ms) ====== [2026-02-14T19:22:06.092Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T19:22:06.092Z] GC before operation: completed in 142.338 ms, heap usage 2.403 GB -> 97.572 MB. [2026-02-14T19:22:08.639Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T19:22:12.175Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T19:22:14.712Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T19:22:18.221Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T19:22:19.856Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T19:22:21.490Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T19:22:24.992Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T19:22:27.536Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T19:22:27.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-14T19:22:27.536Z] The best model improves the baseline by 14.43%. [2026-02-14T19:22:27.536Z] Top recommended movies for user id 72: [2026-02-14T19:22:27.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-14T19:22:27.536Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-14T19:22:27.536Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-14T19:22:27.536Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-14T19:22:27.536Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-14T19:22:27.536Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21794.542 ms) ====== [2026-02-14T19:22:28.323Z] ----------------------------------- [2026-02-14T19:22:28.323Z] renaissance-movie-lens_0_PASSED [2026-02-14T19:22:28.323Z] ----------------------------------- [2026-02-14T19:22:28.323Z] [2026-02-14T19:22:28.323Z] TEST TEARDOWN: [2026-02-14T19:22:28.323Z] Nothing to be done for teardown. [2026-02-14T19:22:28.323Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 19:22:27 2026 Epoch Time (ms): 1771096947816