[2026-02-12T17:11:40.812Z] Running test renaissance-movie-lens_0 ... [2026-02-12T17:11:40.812Z] =============================================== [2026-02-12T17:11:40.812Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 17:11:40 2026 Epoch Time (ms): 1770916300384 [2026-02-12T17:11:40.812Z] variation: NoOptions [2026-02-12T17:11:40.812Z] JVM_OPTIONS: [2026-02-12T17:11:40.812Z] { \ [2026-02-12T17:11:40.812Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T17:11:40.812Z] echo "Nothing to be done for setup."; \ [2026-02-12T17:11:40.812Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709150538184/renaissance-movie-lens_0"; \ [2026-02-12T17:11:40.812Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709150538184/renaissance-movie-lens_0"; \ [2026-02-12T17:11:40.812Z] echo ""; echo "TESTING:"; \ [2026-02-12T17:11:40.812Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709150538184/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T17:11:40.812Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709150538184/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T17:11:40.812Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T17:11:40.812Z] echo "Nothing to be done for teardown."; \ [2026-02-12T17:11:40.812Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709150538184/TestTargetResult"; [2026-02-12T17:11:40.812Z] [2026-02-12T17:11:40.812Z] TEST SETUP: [2026-02-12T17:11:40.812Z] Nothing to be done for setup. [2026-02-12T17:11:40.812Z] [2026-02-12T17:11:40.812Z] TESTING: [2026-02-12T17:11:48.351Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T17:11:57.587Z] 17:11:57.259 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. [2026-02-12T17:12:00.935Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T17:12:01.736Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T17:12:01.736Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T17:12:01.736Z] GC before operation: completed in 131.612 ms, heap usage 184.033 MB -> 75.731 MB. [2026-02-12T17:12:11.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:12:15.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:12:20.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:12:24.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:12:26.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:12:28.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:12:31.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:12:33.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:12:33.471Z] 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. [2026-02-12T17:12:33.826Z] The best model improves the baseline by 14.52%. [2026-02-12T17:12:34.216Z] Top recommended movies for user id 72: [2026-02-12T17:12:34.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:12:34.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:12:34.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:12:34.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:12:34.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:12:34.216Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32409.107 ms) ====== [2026-02-12T17:12:34.216Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T17:12:34.216Z] GC before operation: completed in 154.174 ms, heap usage 232.236 MB -> 90.095 MB. [2026-02-12T17:12:38.224Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:12:41.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:12:45.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:12:48.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:12:50.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:12:52.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:12:54.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:12:56.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:12:56.926Z] 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. [2026-02-12T17:12:56.927Z] The best model improves the baseline by 14.52%. [2026-02-12T17:12:57.286Z] Top recommended movies for user id 72: [2026-02-12T17:12:57.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:12:57.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:12:57.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:12:57.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:12:57.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:12:57.286Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22948.558 ms) ====== [2026-02-12T17:12:57.286Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T17:12:57.286Z] GC before operation: completed in 154.755 ms, heap usage 357.792 MB -> 88.740 MB. [2026-02-12T17:13:00.461Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:13:04.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:13:07.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:13:10.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:13:12.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:13:14.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:13:16.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:13:18.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:13:19.120Z] 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. [2026-02-12T17:13:19.120Z] The best model improves the baseline by 14.52%. [2026-02-12T17:13:19.477Z] Top recommended movies for user id 72: [2026-02-12T17:13:19.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:13:19.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:13:19.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:13:19.478Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:13:19.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:13:19.478Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22099.995 ms) ====== [2026-02-12T17:13:19.478Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T17:13:19.478Z] GC before operation: completed in 151.776 ms, heap usage 287.149 MB -> 89.331 MB. [2026-02-12T17:13:23.500Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:13:25.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:13:29.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:13:32.389Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:13:34.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:13:36.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:13:39.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:13:40.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:13:40.974Z] 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. [2026-02-12T17:13:40.974Z] The best model improves the baseline by 14.52%. [2026-02-12T17:13:41.338Z] Top recommended movies for user id 72: [2026-02-12T17:13:41.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:13:41.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:13:41.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:13:41.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:13:41.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:13:41.338Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21728.999 ms) ====== [2026-02-12T17:13:41.338Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T17:13:41.338Z] GC before operation: completed in 144.844 ms, heap usage 378.018 MB -> 89.731 MB. [2026-02-12T17:13:44.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:13:48.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:13:51.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:13:54.897Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:13:57.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:13:59.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:14:01.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:14:03.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:14:03.472Z] 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. [2026-02-12T17:14:03.472Z] The best model improves the baseline by 14.52%. [2026-02-12T17:14:03.928Z] Top recommended movies for user id 72: [2026-02-12T17:14:03.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:14:03.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:14:03.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:14:03.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:14:03.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:14:03.928Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22250.803 ms) ====== [2026-02-12T17:14:03.928Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T17:14:03.928Z] GC before operation: completed in 149.102 ms, heap usage 274.221 MB -> 89.500 MB. [2026-02-12T17:14:07.083Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:14:10.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:14:13.387Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:14:16.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:14:18.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:14:20.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:14:22.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:14:23.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:14:24.337Z] 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. [2026-02-12T17:14:24.337Z] The best model improves the baseline by 14.52%. [2026-02-12T17:14:24.705Z] Top recommended movies for user id 72: [2026-02-12T17:14:24.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:14:24.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:14:24.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:14:24.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:14:24.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:14:24.705Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20663.927 ms) ====== [2026-02-12T17:14:24.705Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T17:14:24.705Z] GC before operation: completed in 137.623 ms, heap usage 378.521 MB -> 89.974 MB. [2026-02-12T17:14:27.891Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:14:31.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:14:34.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:14:36.676Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:14:38.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:14:40.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:14:42.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:14:44.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:14:44.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T17:14:44.607Z] The best model improves the baseline by 14.52%. [2026-02-12T17:14:44.965Z] Top recommended movies for user id 72: [2026-02-12T17:14:44.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:14:44.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:14:44.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:14:44.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:14:44.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:14:44.965Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20354.195 ms) ====== [2026-02-12T17:14:44.965Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T17:14:44.965Z] GC before operation: completed in 144.223 ms, heap usage 127.615 MB -> 92.656 MB. [2026-02-12T17:14:48.157Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:14:51.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:14:53.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:14:56.925Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:14:58.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:14:59.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:15:02.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:15:03.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:15:04.066Z] 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. [2026-02-12T17:15:04.066Z] The best model improves the baseline by 14.52%. [2026-02-12T17:15:04.066Z] Top recommended movies for user id 72: [2026-02-12T17:15:04.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:15:04.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:15:04.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:15:04.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:15:04.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:15:04.066Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19102.714 ms) ====== [2026-02-12T17:15:04.066Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T17:15:04.548Z] GC before operation: completed in 154.234 ms, heap usage 128.830 MB -> 91.365 MB. [2026-02-12T17:15:07.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:15:10.122Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:15:13.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:15:15.707Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:15:17.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:15:19.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:15:21.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:15:22.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:15:22.725Z] 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. [2026-02-12T17:15:22.725Z] The best model improves the baseline by 14.52%. [2026-02-12T17:15:23.080Z] Top recommended movies for user id 72: [2026-02-12T17:15:23.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:15:23.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:15:23.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:15:23.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:15:23.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:15:23.080Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18666.885 ms) ====== [2026-02-12T17:15:23.080Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T17:15:23.080Z] GC before operation: completed in 141.401 ms, heap usage 597.939 MB -> 93.593 MB. [2026-02-12T17:15:26.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:15:28.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:15:31.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:15:35.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:15:36.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:15:38.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:15:39.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:15:41.324Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:15:41.704Z] 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. [2026-02-12T17:15:41.704Z] The best model improves the baseline by 14.52%. [2026-02-12T17:15:42.072Z] Top recommended movies for user id 72: [2026-02-12T17:15:42.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:15:42.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:15:42.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:15:42.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:15:42.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:15:42.072Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18811.433 ms) ====== [2026-02-12T17:15:42.072Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T17:15:42.072Z] GC before operation: completed in 152.712 ms, heap usage 602.604 MB -> 93.755 MB. [2026-02-12T17:15:45.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:15:47.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:15:50.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:15:53.195Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:15:55.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:15:56.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:15:58.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:16:00.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:16:00.747Z] 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. [2026-02-12T17:16:00.747Z] The best model improves the baseline by 14.52%. [2026-02-12T17:16:01.116Z] Top recommended movies for user id 72: [2026-02-12T17:16:01.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:16:01.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:16:01.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:16:01.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:16:01.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:16:01.116Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18823.480 ms) ====== [2026-02-12T17:16:01.116Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T17:16:01.116Z] GC before operation: completed in 141.831 ms, heap usage 107.757 MB -> 93.386 MB. [2026-02-12T17:16:04.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:16:07.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:16:09.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:16:13.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:16:14.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:16:16.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:16:18.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:16:20.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:16:20.422Z] 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. [2026-02-12T17:16:20.422Z] The best model improves the baseline by 14.52%. [2026-02-12T17:16:20.776Z] Top recommended movies for user id 72: [2026-02-12T17:16:20.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:16:20.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:16:20.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:16:20.777Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:16:20.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:16:20.777Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19646.047 ms) ====== [2026-02-12T17:16:20.777Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T17:16:20.777Z] GC before operation: completed in 139.112 ms, heap usage 398.439 MB -> 90.216 MB. [2026-02-12T17:16:23.962Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:16:27.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:16:30.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:16:33.396Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:16:35.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:16:37.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:16:38.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:16:40.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:16:41.193Z] 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. [2026-02-12T17:16:41.193Z] The best model improves the baseline by 14.52%. [2026-02-12T17:16:41.193Z] Top recommended movies for user id 72: [2026-02-12T17:16:41.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:16:41.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:16:41.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:16:41.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:16:41.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:16:41.193Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20364.734 ms) ====== [2026-02-12T17:16:41.193Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T17:16:41.564Z] GC before operation: completed in 143.588 ms, heap usage 103.285 MB -> 93.812 MB. [2026-02-12T17:16:44.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:16:48.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:16:51.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:16:53.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:16:56.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:16:58.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:16:59.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:17:01.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:17:01.766Z] 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. [2026-02-12T17:17:01.766Z] The best model improves the baseline by 14.52%. [2026-02-12T17:17:01.766Z] Top recommended movies for user id 72: [2026-02-12T17:17:01.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:17:01.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:17:01.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:17:01.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:17:01.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:17:01.766Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20491.627 ms) ====== [2026-02-12T17:17:01.766Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T17:17:02.122Z] GC before operation: completed in 146.356 ms, heap usage 336.207 MB -> 90.054 MB. [2026-02-12T17:17:05.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:17:08.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:17:11.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:17:14.191Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:17:16.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:17:17.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:17:19.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:17:21.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:17:21.401Z] 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. [2026-02-12T17:17:21.401Z] The best model improves the baseline by 14.52%. [2026-02-12T17:17:21.797Z] Top recommended movies for user id 72: [2026-02-12T17:17:21.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:17:21.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:17:21.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:17:21.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:17:21.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:17:21.797Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19546.334 ms) ====== [2026-02-12T17:17:21.797Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T17:17:21.797Z] GC before operation: completed in 142.953 ms, heap usage 339.322 MB -> 90.276 MB. [2026-02-12T17:17:24.955Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:17:28.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:17:31.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:17:34.413Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:17:36.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:17:38.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:17:39.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:17:41.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:17:42.085Z] 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. [2026-02-12T17:17:42.085Z] The best model improves the baseline by 14.52%. [2026-02-12T17:17:42.085Z] Top recommended movies for user id 72: [2026-02-12T17:17:42.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:17:42.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:17:42.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:17:42.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:17:42.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:17:42.085Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20392.387 ms) ====== [2026-02-12T17:17:42.085Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T17:17:42.453Z] GC before operation: completed in 142.848 ms, heap usage 542.863 MB -> 93.638 MB. [2026-02-12T17:17:45.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:17:48.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:17:51.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:17:54.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:17:56.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:17:58.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:17:59.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:18:01.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:18:02.076Z] 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. [2026-02-12T17:18:02.076Z] The best model improves the baseline by 14.52%. [2026-02-12T17:18:02.076Z] Top recommended movies for user id 72: [2026-02-12T17:18:02.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:18:02.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:18:02.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:18:02.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:18:02.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:18:02.076Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19952.227 ms) ====== [2026-02-12T17:18:02.076Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T17:18:02.450Z] GC before operation: completed in 142.180 ms, heap usage 290.514 MB -> 90.185 MB. [2026-02-12T17:18:05.625Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:18:08.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:18:11.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:18:14.409Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:18:16.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:18:18.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:18:20.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:18:22.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:18:22.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T17:18:22.334Z] The best model improves the baseline by 14.52%. [2026-02-12T17:18:22.702Z] Top recommended movies for user id 72: [2026-02-12T17:18:22.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:18:22.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:18:22.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:18:22.703Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:18:22.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:18:22.703Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20168.176 ms) ====== [2026-02-12T17:18:22.703Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T17:18:22.703Z] GC before operation: completed in 144.607 ms, heap usage 121.679 MB -> 92.392 MB. [2026-02-12T17:18:25.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:18:29.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:18:31.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:18:34.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:18:36.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:18:38.342Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:18:40.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:18:41.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:18:42.329Z] 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. [2026-02-12T17:18:42.329Z] The best model improves the baseline by 14.52%. [2026-02-12T17:18:42.684Z] Top recommended movies for user id 72: [2026-02-12T17:18:42.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:18:42.684Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:18:42.684Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:18:42.684Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:18:42.684Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:18:42.684Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20002.097 ms) ====== [2026-02-12T17:18:42.684Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T17:18:42.684Z] GC before operation: completed in 139.263 ms, heap usage 290.016 MB -> 90.146 MB. [2026-02-12T17:18:45.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:18:48.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:18:51.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:18:54.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:18:56.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:18:58.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:19:00.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:19:01.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:19:02.186Z] 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. [2026-02-12T17:19:02.547Z] The best model improves the baseline by 14.52%. [2026-02-12T17:19:02.547Z] Top recommended movies for user id 72: [2026-02-12T17:19:02.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:19:02.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:19:02.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:19:02.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:19:02.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:19:02.547Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19748.781 ms) ====== [2026-02-12T17:19:03.306Z] ----------------------------------- [2026-02-12T17:19:03.306Z] renaissance-movie-lens_0_PASSED [2026-02-12T17:19:03.306Z] ----------------------------------- [2026-02-12T17:19:03.306Z] [2026-02-12T17:19:03.306Z] TEST TEARDOWN: [2026-02-12T17:19:03.306Z] Nothing to be done for teardown. [2026-02-12T17:19:03.306Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 17:19:03 2026 Epoch Time (ms): 1770916743080