[2026-02-18T22:12:29.169Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:12:29.927Z] =============================================== [2026-02-18T22:12:29.927Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:12:29 2026 Epoch Time (ms): 1771452749122 [2026-02-18T22:12:29.927Z] variation: NoOptions [2026-02-18T22:12:29.927Z] JVM_OPTIONS: [2026-02-18T22:12:29.927Z] { \ [2026-02-18T22:12:29.927Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:12:29.927Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:12:29.927Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714511206738/renaissance-movie-lens_0"; \ [2026-02-18T22:12:29.927Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714511206738/renaissance-movie-lens_0"; \ [2026-02-18T22:12:29.927Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:12:29.927Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714511206738/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:12:29.927Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714511206738/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:12:29.927Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:12:29.927Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:12:29.927Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714511206738/TestTargetResult"; [2026-02-18T22:12:29.927Z] [2026-02-18T22:12:29.927Z] TEST SETUP: [2026-02-18T22:12:29.927Z] Nothing to be done for setup. [2026-02-18T22:12:29.927Z] [2026-02-18T22:12:29.927Z] TESTING: [2026-02-18T22:12:38.600Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T22:13:00.444Z] 22:12:57.713 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T22:13:05.930Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:13:06.686Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:13:06.686Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:13:07.448Z] GC before operation: completed in 292.428 ms, heap usage 141.521 MB -> 75.940 MB. [2026-02-18T22:13:29.434Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:13:43.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:13:54.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:14:04.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:14:10.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:14:15.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:14:20.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:14:25.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:14:25.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:14:26.672Z] The best model improves the baseline by 14.52%. [2026-02-18T22:14:26.672Z] Top recommended movies for user id 72: [2026-02-18T22:14:26.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:14:26.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:14:26.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:14:26.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:14:26.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:14:26.672Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (79652.290 ms) ====== [2026-02-18T22:14:26.672Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:14:27.428Z] GC before operation: completed in 291.984 ms, heap usage 510.078 MB -> 88.200 MB. [2026-02-18T22:14:35.716Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:14:45.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:14:53.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:00.313Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:15:03.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:15:07.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:15:13.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:15:16.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:15:17.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:15:17.595Z] The best model improves the baseline by 14.52%. [2026-02-18T22:15:18.366Z] Top recommended movies for user id 72: [2026-02-18T22:15:18.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:15:18.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:15:18.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:15:18.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:15:18.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:15:18.366Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51416.376 ms) ====== [2026-02-18T22:15:18.366Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:15:19.143Z] GC before operation: completed in 305.266 ms, heap usage 202.090 MB -> 88.811 MB. [2026-02-18T22:15:25.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:15:32.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:15:39.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:46.643Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:15:49.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:15:54.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:15:57.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:16:02.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:16:03.027Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:16:03.027Z] The best model improves the baseline by 14.52%. [2026-02-18T22:16:03.027Z] Top recommended movies for user id 72: [2026-02-18T22:16:03.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:16:03.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:16:03.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:16:03.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:16:03.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:16:03.027Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44407.703 ms) ====== [2026-02-18T22:16:03.027Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:16:03.803Z] GC before operation: completed in 365.392 ms, heap usage 223.455 MB -> 89.352 MB. [2026-02-18T22:16:11.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:16:20.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:16:28.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:16:44.984Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:16:48.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:16:52.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:16:57.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:17:00.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:17:01.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:17:01.405Z] The best model improves the baseline by 14.52%. [2026-02-18T22:17:01.405Z] Top recommended movies for user id 72: [2026-02-18T22:17:01.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:17:01.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:17:01.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:17:01.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:17:01.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:17:01.405Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57975.644 ms) ====== [2026-02-18T22:17:01.405Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:17:02.172Z] GC before operation: completed in 365.049 ms, heap usage 260.132 MB -> 90.322 MB. [2026-02-18T22:17:08.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:17:17.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:17:23.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:17:30.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:17:34.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:17:42.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:17:47.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:17:52.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:17:52.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:17:52.821Z] The best model improves the baseline by 14.52%. [2026-02-18T22:17:53.571Z] Top recommended movies for user id 72: [2026-02-18T22:17:53.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:17:53.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:17:53.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:17:53.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:17:53.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:17:53.571Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (51313.946 ms) ====== [2026-02-18T22:17:53.571Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:17:53.571Z] GC before operation: completed in 349.399 ms, heap usage 124.728 MB -> 89.621 MB. [2026-02-18T22:17:59.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:05.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:18:12.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:18:16.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:18:21.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:18:23.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:27.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:18:29.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:18:30.629Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:18:30.629Z] The best model improves the baseline by 14.52%. [2026-02-18T22:18:31.387Z] Top recommended movies for user id 72: [2026-02-18T22:18:31.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:18:31.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:18:31.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:18:31.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:18:31.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:18:31.387Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37340.122 ms) ====== [2026-02-18T22:18:31.387Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:18:31.387Z] GC before operation: completed in 372.868 ms, heap usage 224.379 MB -> 90.071 MB. [2026-02-18T22:18:38.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:43.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:18:50.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:18:55.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:00.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:04.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:09.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:13.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:13.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:19:14.186Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:14.186Z] Top recommended movies for user id 72: [2026-02-18T22:19:14.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:14.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:14.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:14.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:14.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:14.186Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (42806.453 ms) ====== [2026-02-18T22:19:14.186Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:19:14.944Z] GC before operation: completed in 311.314 ms, heap usage 313.194 MB -> 90.220 MB. [2026-02-18T22:19:21.730Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:27.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:19:33.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:19:40.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:43.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:46.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:51.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:55.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:55.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:19:55.577Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:56.362Z] Top recommended movies for user id 72: [2026-02-18T22:19:56.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:56.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:56.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:56.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:56.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:56.362Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (41389.332 ms) ====== [2026-02-18T22:19:56.362Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:19:56.362Z] GC before operation: completed in 457.156 ms, heap usage 520.833 MB -> 90.653 MB. [2026-02-18T22:20:03.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:09.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:16.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:22.123Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:25.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:28.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:20:33.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:20:37.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:20:37.286Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:20:38.061Z] The best model improves the baseline by 14.52%. [2026-02-18T22:20:38.061Z] Top recommended movies for user id 72: [2026-02-18T22:20:38.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:20:38.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:20:38.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:20:38.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:20:38.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:20:38.061Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (41921.569 ms) ====== [2026-02-18T22:20:38.061Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:20:38.815Z] GC before operation: completed in 372.483 ms, heap usage 177.474 MB -> 90.044 MB. [2026-02-18T22:20:45.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:51.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:57.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:04.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:09.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:21:12.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:16.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:22.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:22.281Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:21:22.281Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:23.052Z] Top recommended movies for user id 72: [2026-02-18T22:21:23.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:23.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:23.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:23.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:23.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:23.052Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (44200.691 ms) ====== [2026-02-18T22:21:23.052Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:21:23.052Z] GC before operation: completed in 350.063 ms, heap usage 123.291 MB -> 90.428 MB. [2026-02-18T22:21:29.856Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:21:36.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:43.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:55.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:59.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:22:07.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:22:10.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:22:15.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:22:15.029Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:22:15.780Z] The best model improves the baseline by 14.52%. [2026-02-18T22:22:15.780Z] Top recommended movies for user id 72: [2026-02-18T22:22:15.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:22:15.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:22:15.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:22:15.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:22:15.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:22:15.780Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52569.014 ms) ====== [2026-02-18T22:22:15.780Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:22:16.537Z] GC before operation: completed in 397.725 ms, heap usage 134.746 MB -> 89.869 MB. [2026-02-18T22:22:23.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:22:28.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:22:37.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:22:43.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:22:46.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:22:51.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:22:56.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:23:01.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:23:01.305Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:23:01.305Z] The best model improves the baseline by 14.52%. [2026-02-18T22:23:02.059Z] Top recommended movies for user id 72: [2026-02-18T22:23:02.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:23:02.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:23:02.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:23:02.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:23:02.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:23:02.059Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (45690.187 ms) ====== [2026-02-18T22:23:02.059Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:23:02.059Z] GC before operation: completed in 307.907 ms, heap usage 171.662 MB -> 90.250 MB. [2026-02-18T22:23:08.841Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:23:14.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:23:21.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:23:26.630Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:23:30.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:23:34.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:23:38.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:23:42.324Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:23:43.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:23:43.098Z] The best model improves the baseline by 14.52%. [2026-02-18T22:23:43.098Z] Top recommended movies for user id 72: [2026-02-18T22:23:43.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:23:43.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:23:43.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:23:43.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:23:43.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:23:43.098Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (41151.526 ms) ====== [2026-02-18T22:23:43.098Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:23:43.844Z] GC before operation: completed in 364.859 ms, heap usage 197.262 MB -> 90.342 MB. [2026-02-18T22:23:51.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:23:57.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:24:03.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:24:08.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:24:13.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:24:16.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:24:20.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:24:23.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:24:24.310Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:24:25.094Z] The best model improves the baseline by 14.52%. [2026-02-18T22:24:25.094Z] Top recommended movies for user id 72: [2026-02-18T22:24:25.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:24:25.094Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:24:25.094Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:24:25.094Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:24:25.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:24:25.094Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (41299.527 ms) ====== [2026-02-18T22:24:25.094Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:24:25.848Z] GC before operation: completed in 406.099 ms, heap usage 525.314 MB -> 93.952 MB. [2026-02-18T22:24:31.380Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:24:38.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:24:46.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:24:53.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:24:58.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:25:02.503Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:25:06.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:25:10.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:25:11.029Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:25:11.808Z] The best model improves the baseline by 14.52%. [2026-02-18T22:25:11.808Z] Top recommended movies for user id 72: [2026-02-18T22:25:11.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:25:11.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:25:11.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:25:11.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:25:11.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:25:11.808Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46412.233 ms) ====== [2026-02-18T22:25:11.808Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:25:12.572Z] GC before operation: completed in 409.095 ms, heap usage 132.606 MB -> 90.241 MB. [2026-02-18T22:25:19.389Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:25:26.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:25:33.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:25:38.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:25:43.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:25:46.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:25:52.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:25:56.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:25:57.301Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:25:57.301Z] The best model improves the baseline by 14.52%. [2026-02-18T22:25:57.301Z] Top recommended movies for user id 72: [2026-02-18T22:25:57.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:25:57.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:25:57.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:25:57.301Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:25:57.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:25:57.301Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45079.644 ms) ====== [2026-02-18T22:25:57.301Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:25:58.076Z] GC before operation: completed in 346.924 ms, heap usage 111.393 MB -> 90.116 MB. [2026-02-18T22:26:04.854Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:26:12.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:26:18.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:26:32.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:26:39.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:26:43.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:26:48.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:26:52.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:26:53.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:26:53.472Z] The best model improves the baseline by 14.52%. [2026-02-18T22:26:53.472Z] Top recommended movies for user id 72: [2026-02-18T22:26:53.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:26:53.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:26:53.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:26:53.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:26:53.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:26:53.472Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (55929.484 ms) ====== [2026-02-18T22:26:53.472Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:26:54.226Z] GC before operation: completed in 324.186 ms, heap usage 129.817 MB -> 90.163 MB. [2026-02-18T22:27:00.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:27:05.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:27:12.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:27:18.087Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:27:20.533Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:27:24.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:27:28.357Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:27:32.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:27:33.730Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:27:33.730Z] The best model improves the baseline by 14.52%. [2026-02-18T22:27:34.490Z] Top recommended movies for user id 72: [2026-02-18T22:27:34.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:27:34.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:27:34.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:27:34.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:27:34.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:27:34.490Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (40177.959 ms) ====== [2026-02-18T22:27:34.490Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:27:34.490Z] GC before operation: completed in 415.091 ms, heap usage 211.759 MB -> 90.118 MB. [2026-02-18T22:27:41.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:27:47.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:27:53.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:28:00.474Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:28:04.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:28:08.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:28:12.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:28:17.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:28:17.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:28:17.816Z] The best model improves the baseline by 14.52%. [2026-02-18T22:28:18.563Z] Top recommended movies for user id 72: [2026-02-18T22:28:18.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:28:18.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:28:18.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:28:18.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:28:18.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:28:18.563Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (43850.094 ms) ====== [2026-02-18T22:28:18.563Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:28:18.563Z] GC before operation: completed in 356.948 ms, heap usage 366.193 MB -> 90.636 MB. [2026-02-18T22:28:25.292Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:28:32.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:28:39.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:28:46.179Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:28:50.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:28:54.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:28:59.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:29:03.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:29:03.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:29:03.842Z] The best model improves the baseline by 14.52%. [2026-02-18T22:29:04.603Z] Top recommended movies for user id 72: [2026-02-18T22:29:04.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:29:04.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:29:04.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:29:04.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:29:04.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:29:04.603Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45775.351 ms) ====== [2026-02-18T22:29:06.176Z] ----------------------------------- [2026-02-18T22:29:06.176Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:29:06.176Z] ----------------------------------- [2026-02-18T22:29:06.176Z] [2026-02-18T22:29:06.176Z] TEST TEARDOWN: [2026-02-18T22:29:06.176Z] Nothing to be done for teardown. [2026-02-18T22:29:06.176Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:29:05 2026 Epoch Time (ms): 1771453745423