[2026-02-18T21:40:55.793Z] Running test renaissance-movie-lens_0 ... [2026-02-18T21:40:55.793Z] =============================================== [2026-02-18T21:40:55.793Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 16:40:55 2026 Epoch Time (ms): 1771450855434 [2026-02-18T21:40:55.793Z] variation: NoOptions [2026-02-18T21:40:55.793Z] JVM_OPTIONS: [2026-02-18T21:40:55.793Z] { \ [2026-02-18T21:40:55.793Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T21:40:55.793Z] echo "Nothing to be done for setup."; \ [2026-02-18T21:40:55.793Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714505093183/renaissance-movie-lens_0"; \ [2026-02-18T21:40:55.793Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714505093183/renaissance-movie-lens_0"; \ [2026-02-18T21:40:55.793Z] echo ""; echo "TESTING:"; \ [2026-02-18T21:40:55.793Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714505093183/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T21:40:55.793Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714505093183/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T21:40:55.793Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T21:40:55.793Z] echo "Nothing to be done for teardown."; \ [2026-02-18T21:40:55.793Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714505093183/TestTargetResult"; [2026-02-18T21:40:55.793Z] [2026-02-18T21:40:55.793Z] TEST SETUP: [2026-02-18T21:40:55.793Z] Nothing to be done for setup. [2026-02-18T21:40:55.793Z] [2026-02-18T21:40:55.793Z] TESTING: [2026-02-18T21:40:59.048Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T21:41:02.410Z] 16:41:02.172 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T21:41:03.759Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T21:41:04.196Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T21:41:04.196Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T21:41:04.196Z] GC before operation: completed in 79.181 ms, heap usage 309.270 MB -> 76.014 MB. [2026-02-18T21:41:07.801Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:09.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:11.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:13.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:14.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:15.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:17.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:18.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:18.121Z] 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. [2026-02-18T21:41:18.121Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:18.121Z] Top recommended movies for user id 72: [2026-02-18T21:41:18.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:18.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:18.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:18.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:18.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:18.502Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14206.478 ms) ====== [2026-02-18T21:41:18.502Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T21:41:18.502Z] GC before operation: completed in 101.936 ms, heap usage 483.619 MB -> 86.960 MB. [2026-02-18T21:41:20.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:22.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:24.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:26.141Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:27.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:28.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:29.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:30.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:30.442Z] 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. [2026-02-18T21:41:30.442Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:30.442Z] Top recommended movies for user id 72: [2026-02-18T21:41:30.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:30.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:30.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:30.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:30.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:30.442Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12042.667 ms) ====== [2026-02-18T21:41:30.442Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T21:41:30.442Z] GC before operation: completed in 48.947 ms, heap usage 454.298 MB -> 89.185 MB. [2026-02-18T21:41:31.791Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:33.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:35.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:36.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:37.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:37.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:38.763Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:39.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:39.577Z] 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. [2026-02-18T21:41:39.577Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:39.577Z] Top recommended movies for user id 72: [2026-02-18T21:41:39.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:39.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:39.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:39.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:39.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:39.577Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9181.091 ms) ====== [2026-02-18T21:41:39.577Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T21:41:39.577Z] GC before operation: completed in 57.122 ms, heap usage 443.723 MB -> 89.836 MB. [2026-02-18T21:41:41.452Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:42.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:44.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:46.007Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:46.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:47.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:48.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:49.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:49.366Z] 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. [2026-02-18T21:41:49.366Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:49.366Z] Top recommended movies for user id 72: [2026-02-18T21:41:49.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:49.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:49.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:49.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:49.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:49.366Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9586.944 ms) ====== [2026-02-18T21:41:49.366Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T21:41:49.366Z] GC before operation: completed in 89.298 ms, heap usage 164.997 MB -> 89.818 MB. [2026-02-18T21:41:51.232Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:52.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:53.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:55.421Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:55.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:56.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:58.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:58.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:58.881Z] 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. [2026-02-18T21:41:58.881Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:58.881Z] Top recommended movies for user id 72: [2026-02-18T21:41:58.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:58.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:58.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:58.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:58.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:58.881Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9339.015 ms) ====== [2026-02-18T21:41:58.881Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T21:41:58.881Z] GC before operation: completed in 76.764 ms, heap usage 284.153 MB -> 89.824 MB. [2026-02-18T21:42:00.801Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:42:01.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:42:03.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:42:04.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:42:05.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:42:07.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:42:08.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:42:08.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:42:09.186Z] 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. [2026-02-18T21:42:09.186Z] The best model improves the baseline by 14.52%. [2026-02-18T21:42:09.186Z] Top recommended movies for user id 72: [2026-02-18T21:42:09.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:42:09.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:42:09.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:42:09.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:42:09.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:42:09.186Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10386.263 ms) ====== [2026-02-18T21:42:09.186Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T21:42:09.186Z] GC before operation: completed in 102.507 ms, heap usage 319.377 MB -> 90.171 MB. [2026-02-18T21:42:11.198Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:42:12.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:42:14.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:42:15.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:42:16.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:42:17.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:42:19.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:42:20.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:42:20.029Z] 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. [2026-02-18T21:42:20.029Z] The best model improves the baseline by 14.52%. [2026-02-18T21:42:20.029Z] Top recommended movies for user id 72: [2026-02-18T21:42:20.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:42:20.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:42:20.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:42:20.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:42:20.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:42:20.029Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10858.980 ms) ====== [2026-02-18T21:42:20.029Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T21:42:20.427Z] GC before operation: completed in 67.372 ms, heap usage 378.042 MB -> 90.254 MB. [2026-02-18T21:42:22.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:42:24.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:42:26.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:42:28.039Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:42:29.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:42:30.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:42:30.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:42:32.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:42:32.222Z] 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. [2026-02-18T21:42:32.222Z] The best model improves the baseline by 14.52%. [2026-02-18T21:42:32.613Z] Top recommended movies for user id 72: [2026-02-18T21:42:32.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:42:32.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:42:32.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:42:32.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:42:32.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:42:32.613Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12164.265 ms) ====== [2026-02-18T21:42:32.613Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T21:42:32.613Z] GC before operation: completed in 68.262 ms, heap usage 124.804 MB -> 92.420 MB. [2026-02-18T21:42:34.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:42:36.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:42:38.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:42:40.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:42:40.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:42:42.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:42:43.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:42:44.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:42:45.175Z] 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. [2026-02-18T21:42:45.175Z] The best model improves the baseline by 14.52%. [2026-02-18T21:42:45.560Z] Top recommended movies for user id 72: [2026-02-18T21:42:45.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:42:45.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:42:45.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:42:45.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:42:45.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:42:45.560Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12987.958 ms) ====== [2026-02-18T21:42:45.560Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T21:42:45.560Z] GC before operation: completed in 88.711 ms, heap usage 428.434 MB -> 90.484 MB. [2026-02-18T21:42:47.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:42:48.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:42:49.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:42:51.300Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:42:52.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:42:53.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:42:54.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:42:56.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:42:56.079Z] 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. [2026-02-18T21:42:56.079Z] The best model improves the baseline by 14.52%. [2026-02-18T21:42:56.079Z] Top recommended movies for user id 72: [2026-02-18T21:42:56.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:42:56.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:42:56.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:42:56.079Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:42:56.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:42:56.079Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10629.976 ms) ====== [2026-02-18T21:42:56.079Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T21:42:56.440Z] GC before operation: completed in 85.160 ms, heap usage 428.339 MB -> 90.578 MB. [2026-02-18T21:42:58.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:43:00.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:43:02.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:43:03.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:43:04.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:43:06.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:43:07.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:43:08.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:43:08.740Z] 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. [2026-02-18T21:43:08.740Z] The best model improves the baseline by 14.52%. [2026-02-18T21:43:08.740Z] Top recommended movies for user id 72: [2026-02-18T21:43:08.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:43:08.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:43:08.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:43:08.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:43:08.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:43:08.740Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12615.760 ms) ====== [2026-02-18T21:43:08.740Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T21:43:09.114Z] GC before operation: completed in 70.593 ms, heap usage 109.087 MB -> 89.914 MB. [2026-02-18T21:43:10.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:43:11.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:43:13.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:43:14.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:43:16.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:43:17.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:43:18.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:43:18.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:43:18.899Z] 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. [2026-02-18T21:43:18.899Z] The best model improves the baseline by 14.52%. [2026-02-18T21:43:18.899Z] Top recommended movies for user id 72: [2026-02-18T21:43:18.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:43:18.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:43:18.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:43:18.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:43:18.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:43:18.899Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10046.045 ms) ====== [2026-02-18T21:43:18.899Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T21:43:19.297Z] GC before operation: completed in 109.509 ms, heap usage 161.896 MB -> 90.297 MB. [2026-02-18T21:43:21.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:43:22.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:43:23.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:43:24.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:43:25.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:43:26.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:43:27.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:43:28.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:43:28.279Z] 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. [2026-02-18T21:43:28.279Z] The best model improves the baseline by 14.52%. [2026-02-18T21:43:28.279Z] Top recommended movies for user id 72: [2026-02-18T21:43:28.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:43:28.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:43:28.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:43:28.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:43:28.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:43:28.279Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9026.987 ms) ====== [2026-02-18T21:43:28.279Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T21:43:28.279Z] GC before operation: completed in 104.840 ms, heap usage 541.559 MB -> 90.839 MB. [2026-02-18T21:43:30.189Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:43:31.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:43:32.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:43:34.247Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:43:35.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:43:36.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:43:37.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:43:38.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:43:38.244Z] 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. [2026-02-18T21:43:38.244Z] The best model improves the baseline by 14.52%. [2026-02-18T21:43:38.244Z] Top recommended movies for user id 72: [2026-02-18T21:43:38.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:43:38.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:43:38.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:43:38.244Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:43:38.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:43:38.244Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9922.136 ms) ====== [2026-02-18T21:43:38.244Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T21:43:38.244Z] GC before operation: completed in 90.934 ms, heap usage 174.158 MB -> 90.227 MB. [2026-02-18T21:43:40.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:43:41.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:43:43.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:43:44.510Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:43:45.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:43:47.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:43:48.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:43:49.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:43:49.323Z] 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. [2026-02-18T21:43:49.323Z] The best model improves the baseline by 14.52%. [2026-02-18T21:43:49.707Z] Top recommended movies for user id 72: [2026-02-18T21:43:49.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:43:49.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:43:49.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:43:49.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:43:49.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:43:49.707Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11313.697 ms) ====== [2026-02-18T21:43:49.707Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T21:43:49.707Z] GC before operation: completed in 83.461 ms, heap usage 131.200 MB -> 90.346 MB. [2026-02-18T21:43:51.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:43:53.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:43:55.415Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:43:57.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:43:58.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:43:59.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:44:00.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:44:01.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:44:02.186Z] 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. [2026-02-18T21:44:02.186Z] The best model improves the baseline by 14.52%. [2026-02-18T21:44:02.186Z] Top recommended movies for user id 72: [2026-02-18T21:44:02.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:44:02.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:44:02.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:44:02.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:44:02.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:44:02.186Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12465.756 ms) ====== [2026-02-18T21:44:02.186Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T21:44:02.186Z] GC before operation: completed in 75.237 ms, heap usage 188.608 MB -> 90.356 MB. [2026-02-18T21:44:04.281Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:44:05.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:44:07.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:44:10.556Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:44:11.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:44:12.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:44:13.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:44:14.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:44:14.971Z] 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. [2026-02-18T21:44:14.971Z] The best model improves the baseline by 14.52%. [2026-02-18T21:44:14.971Z] Top recommended movies for user id 72: [2026-02-18T21:44:14.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:44:14.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:44:14.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:44:14.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:44:14.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:44:14.971Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12728.059 ms) ====== [2026-02-18T21:44:14.971Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T21:44:14.971Z] GC before operation: completed in 84.642 ms, heap usage 273.190 MB -> 90.663 MB. [2026-02-18T21:44:16.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:44:18.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:44:19.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:44:20.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:44:21.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:44:22.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:44:23.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:44:24.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:44:24.393Z] 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. [2026-02-18T21:44:24.393Z] The best model improves the baseline by 14.52%. [2026-02-18T21:44:24.393Z] Top recommended movies for user id 72: [2026-02-18T21:44:24.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:44:24.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:44:24.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:44:24.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:44:24.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:44:24.393Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9366.445 ms) ====== [2026-02-18T21:44:24.393Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T21:44:24.393Z] GC before operation: completed in 59.625 ms, heap usage 154.426 MB -> 90.269 MB. [2026-02-18T21:44:26.356Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:44:27.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:44:29.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:44:30.494Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:44:31.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:44:32.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:44:33.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:44:34.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:44:34.542Z] 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. [2026-02-18T21:44:34.542Z] The best model improves the baseline by 14.52%. [2026-02-18T21:44:34.542Z] Top recommended movies for user id 72: [2026-02-18T21:44:34.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:44:34.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:44:34.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:44:34.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:44:34.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:44:34.542Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10169.165 ms) ====== [2026-02-18T21:44:34.542Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T21:44:34.925Z] GC before operation: completed in 109.834 ms, heap usage 125.584 MB -> 92.029 MB. [2026-02-18T21:44:36.963Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:44:38.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:44:39.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:44:41.323Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:44:42.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:44:43.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:44:43.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:44:45.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:44:45.387Z] 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. [2026-02-18T21:44:45.387Z] The best model improves the baseline by 14.52%. [2026-02-18T21:44:45.387Z] Top recommended movies for user id 72: [2026-02-18T21:44:45.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:44:45.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:44:45.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:44:45.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:44:45.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:44:45.387Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10609.913 ms) ====== [2026-02-18T21:44:45.898Z] ----------------------------------- [2026-02-18T21:44:45.898Z] renaissance-movie-lens_0_PASSED [2026-02-18T21:44:45.898Z] ----------------------------------- [2026-02-18T21:44:45.898Z] [2026-02-18T21:44:45.898Z] TEST TEARDOWN: [2026-02-18T21:44:45.898Z] Nothing to be done for teardown. [2026-02-18T21:44:45.898Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 16:44:45 2026 Epoch Time (ms): 1771451085406