[2026-02-11T23:26:18.727Z] Running test renaissance-movie-lens_0 ... [2026-02-11T23:26:18.727Z] =============================================== [2026-02-11T23:26:18.727Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 23:26:18 2026 Epoch Time (ms): 1770852378281 [2026-02-11T23:26:18.727Z] variation: NoOptions [2026-02-11T23:26:18.727Z] JVM_OPTIONS: [2026-02-11T23:26:18.727Z] { \ [2026-02-11T23:26:18.727Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T23:26:18.727Z] echo "Nothing to be done for setup."; \ [2026-02-11T23:26:18.727Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708499052045/renaissance-movie-lens_0"; \ [2026-02-11T23:26:18.727Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708499052045/renaissance-movie-lens_0"; \ [2026-02-11T23:26:18.727Z] echo ""; echo "TESTING:"; \ [2026-02-11T23:26:18.727Z] "/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_17708499052045/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T23:26:18.727Z] 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_17708499052045/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T23:26:18.727Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T23:26:18.727Z] echo "Nothing to be done for teardown."; \ [2026-02-11T23:26:18.727Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708499052045/TestTargetResult"; [2026-02-11T23:26:18.727Z] [2026-02-11T23:26:18.727Z] TEST SETUP: [2026-02-11T23:26:18.727Z] Nothing to be done for setup. [2026-02-11T23:26:18.727Z] [2026-02-11T23:26:18.727Z] TESTING: [2026-02-11T23:26:40.245Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T23:27:05.179Z] 23:27:03.631 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. [2026-02-11T23:27:12.139Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T23:27:13.130Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T23:27:13.130Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T23:27:13.130Z] GC before operation: completed in 361.119 ms, heap usage 418.055 MB -> 76.149 MB. [2026-02-11T23:27:43.117Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:27:57.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:28:10.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:28:23.713Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:28:29.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:28:37.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:28:42.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:28:50.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:28:51.051Z] 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. [2026-02-11T23:28:51.051Z] The best model improves the baseline by 14.52%. [2026-02-11T23:28:52.026Z] Top recommended movies for user id 72: [2026-02-11T23:28:52.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:28:52.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:28:52.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:28:52.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:28:52.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:28:52.026Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (98422.755 ms) ====== [2026-02-11T23:28:52.026Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T23:28:52.026Z] GC before operation: completed in 390.598 ms, heap usage 252.187 MB -> 89.909 MB. [2026-02-11T23:29:02.408Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:29:12.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:29:22.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:29:31.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:29:36.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:29:41.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:29:47.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:29:53.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:29:53.086Z] 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. [2026-02-11T23:29:54.071Z] The best model improves the baseline by 14.52%. [2026-02-11T23:29:54.071Z] Top recommended movies for user id 72: [2026-02-11T23:29:54.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:29:54.071Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:29:54.071Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:29:54.071Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:29:54.071Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:29:54.071Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (61979.877 ms) ====== [2026-02-11T23:29:54.071Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T23:29:55.264Z] GC before operation: completed in 397.265 ms, heap usage 212.949 MB -> 88.886 MB. [2026-02-11T23:30:03.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:30:13.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:30:20.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:30:27.042Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:30:31.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:30:35.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:30:39.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:30:44.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:30:45.196Z] 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. [2026-02-11T23:30:45.196Z] The best model improves the baseline by 14.52%. [2026-02-11T23:30:46.179Z] Top recommended movies for user id 72: [2026-02-11T23:30:46.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:30:46.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:30:46.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:30:46.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:30:46.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:30:46.179Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (51183.713 ms) ====== [2026-02-11T23:30:46.179Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:30:46.179Z] GC before operation: completed in 330.252 ms, heap usage 165.457 MB -> 89.486 MB. [2026-02-11T23:30:54.571Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:31:02.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:31:11.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:31:18.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:31:23.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:31:29.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:31:34.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:31:40.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:31:41.188Z] 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. [2026-02-11T23:31:41.188Z] The best model improves the baseline by 14.52%. [2026-02-11T23:31:41.188Z] Top recommended movies for user id 72: [2026-02-11T23:31:41.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:31:41.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:31:41.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:31:41.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:31:41.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:31:41.188Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55439.763 ms) ====== [2026-02-11T23:31:41.188Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:31:42.161Z] GC before operation: completed in 378.646 ms, heap usage 303.999 MB -> 89.990 MB. [2026-02-11T23:31:50.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:31:57.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:32:05.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:32:11.897Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:32:16.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:32:20.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:32:24.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:32:30.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:32:30.130Z] 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. [2026-02-11T23:32:30.130Z] The best model improves the baseline by 14.52%. [2026-02-11T23:32:31.112Z] Top recommended movies for user id 72: [2026-02-11T23:32:31.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:32:31.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:32:31.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:32:31.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:32:31.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:32:31.112Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49162.469 ms) ====== [2026-02-11T23:32:31.112Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:32:31.112Z] GC before operation: completed in 380.001 ms, heap usage 217.124 MB -> 89.821 MB. [2026-02-11T23:32:41.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:32:46.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:32:53.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:33:01.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:33:06.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:33:10.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:33:14.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:33:18.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:33:18.799Z] 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. [2026-02-11T23:33:18.799Z] The best model improves the baseline by 14.52%. [2026-02-11T23:33:19.765Z] Top recommended movies for user id 72: [2026-02-11T23:33:19.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:33:19.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:33:19.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:33:19.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:33:19.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:33:19.765Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (48011.983 ms) ====== [2026-02-11T23:33:19.765Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:33:19.765Z] GC before operation: completed in 365.457 ms, heap usage 387.110 MB -> 90.337 MB. [2026-02-11T23:33:28.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:33:34.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:33:41.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:33:48.866Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:33:51.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:33:57.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:34:01.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:34:05.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:34:06.911Z] 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. [2026-02-11T23:34:06.911Z] The best model improves the baseline by 14.52%. [2026-02-11T23:34:06.911Z] Top recommended movies for user id 72: [2026-02-11T23:34:06.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:34:06.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:34:06.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:34:06.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:34:06.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:34:06.911Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (47352.663 ms) ====== [2026-02-11T23:34:06.911Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:34:07.891Z] GC before operation: completed in 328.174 ms, heap usage 520.644 MB -> 90.443 MB. [2026-02-11T23:34:14.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:34:20.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:34:28.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:34:34.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:34:39.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:34:43.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:34:48.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:34:52.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:34:53.451Z] 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. [2026-02-11T23:34:53.451Z] The best model improves the baseline by 14.52%. [2026-02-11T23:34:53.451Z] Top recommended movies for user id 72: [2026-02-11T23:34:53.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:34:53.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:34:53.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:34:53.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:34:53.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:34:53.451Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46105.460 ms) ====== [2026-02-11T23:34:53.451Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:34:54.433Z] GC before operation: completed in 335.178 ms, heap usage 331.333 MB -> 90.480 MB. [2026-02-11T23:34:59.935Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:35:06.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:35:12.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:35:19.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:35:23.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:35:27.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:35:33.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:35:38.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:35:38.551Z] 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. [2026-02-11T23:35:38.551Z] The best model improves the baseline by 14.52%. [2026-02-11T23:35:39.530Z] Top recommended movies for user id 72: [2026-02-11T23:35:39.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:35:39.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:35:39.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:35:39.531Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:35:39.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:35:39.531Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (45448.747 ms) ====== [2026-02-11T23:35:39.531Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:35:39.531Z] GC before operation: completed in 442.558 ms, heap usage 332.536 MB -> 90.242 MB. [2026-02-11T23:35:46.413Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:35:53.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:36:00.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:36:07.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:36:12.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:36:16.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:36:20.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:36:24.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:36:26.914Z] 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. [2026-02-11T23:36:26.914Z] The best model improves the baseline by 14.52%. [2026-02-11T23:36:26.914Z] Top recommended movies for user id 72: [2026-02-11T23:36:26.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:36:26.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:36:26.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:36:26.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:36:26.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:36:26.914Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47461.027 ms) ====== [2026-02-11T23:36:26.914Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:36:27.893Z] GC before operation: completed in 389.802 ms, heap usage 150.965 MB -> 90.273 MB. [2026-02-11T23:36:34.740Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:36:40.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:36:45.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:36:51.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:36:55.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:36:58.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:37:02.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:37:05.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:37:06.919Z] 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. [2026-02-11T23:37:06.919Z] The best model improves the baseline by 14.52%. [2026-02-11T23:37:07.895Z] Top recommended movies for user id 72: [2026-02-11T23:37:07.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:37:07.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:37:07.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:37:07.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:37:07.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:37:07.895Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (39912.668 ms) ====== [2026-02-11T23:37:07.895Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:37:07.895Z] GC before operation: completed in 292.167 ms, heap usage 254.764 MB -> 90.098 MB. [2026-02-11T23:37:13.425Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:37:18.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:37:25.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:37:31.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:37:35.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:37:38.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:37:42.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:37:46.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:37:47.708Z] 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. [2026-02-11T23:37:47.709Z] The best model improves the baseline by 14.52%. [2026-02-11T23:37:48.696Z] Top recommended movies for user id 72: [2026-02-11T23:37:48.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:37:48.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:37:48.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:37:48.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:37:48.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:37:48.696Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (40602.282 ms) ====== [2026-02-11T23:37:48.696Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:37:48.696Z] GC before operation: completed in 340.356 ms, heap usage 225.612 MB -> 90.316 MB. [2026-02-11T23:37:55.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:01.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:38:08.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:38:13.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:38:19.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:38:23.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:38:29.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:38:33.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:38:34.412Z] 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. [2026-02-11T23:38:34.412Z] The best model improves the baseline by 14.52%. [2026-02-11T23:38:34.412Z] Top recommended movies for user id 72: [2026-02-11T23:38:34.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:38:34.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:38:34.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:38:34.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:38:34.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:38:34.412Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (45762.583 ms) ====== [2026-02-11T23:38:34.412Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:38:35.398Z] GC before operation: completed in 440.588 ms, heap usage 443.303 MB -> 90.704 MB. [2026-02-11T23:38:44.616Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:51.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:00.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:08.681Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:39:14.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:39:18.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:39:24.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:39:29.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:39:30.906Z] 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. [2026-02-11T23:39:30.906Z] The best model improves the baseline by 14.52%. [2026-02-11T23:39:30.906Z] Top recommended movies for user id 72: [2026-02-11T23:39:30.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:39:30.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:39:30.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:39:30.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:39:30.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:39:30.906Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (56123.663 ms) ====== [2026-02-11T23:39:30.906Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:39:31.880Z] GC before operation: completed in 449.408 ms, heap usage 189.279 MB -> 90.169 MB. [2026-02-11T23:39:40.171Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:39:46.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:53.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:00.904Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:05.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:09.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:14.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:19.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:20.140Z] 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. [2026-02-11T23:40:20.140Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:20.140Z] Top recommended movies for user id 72: [2026-02-11T23:40:20.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:20.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:20.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:20.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:20.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:20.140Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48519.884 ms) ====== [2026-02-11T23:40:20.140Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:40:20.140Z] GC before operation: completed in 451.523 ms, heap usage 632.015 MB -> 94.227 MB. [2026-02-11T23:40:28.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:40:35.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:40:44.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:50.927Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:55.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:00.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:06.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:41:10.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:41:11.610Z] 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. [2026-02-11T23:41:11.610Z] The best model improves the baseline by 14.52%. [2026-02-11T23:41:12.581Z] Top recommended movies for user id 72: [2026-02-11T23:41:12.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:41:12.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:41:12.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:41:12.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:41:12.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:41:12.582Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51539.922 ms) ====== [2026-02-11T23:41:12.582Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:41:12.582Z] GC before operation: completed in 412.221 ms, heap usage 190.332 MB -> 90.273 MB. [2026-02-11T23:41:20.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:27.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:35.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:42.397Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:41:47.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:51.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:56.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:01.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:01.218Z] 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. [2026-02-11T23:42:01.218Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:02.225Z] Top recommended movies for user id 72: [2026-02-11T23:42:02.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:02.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:02.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:02.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:02.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:02.225Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49384.608 ms) ====== [2026-02-11T23:42:02.225Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:42:02.225Z] GC before operation: completed in 469.708 ms, heap usage 623.908 MB -> 94.153 MB. [2026-02-11T23:42:10.583Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:42:18.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:42:27.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:42:34.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:42:39.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:42:44.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:42:48.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:53.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:54.103Z] 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. [2026-02-11T23:42:54.103Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:55.097Z] Top recommended movies for user id 72: [2026-02-11T23:42:55.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:55.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:55.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:55.097Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:55.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:55.097Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52566.696 ms) ====== [2026-02-11T23:42:55.097Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:42:55.097Z] GC before operation: completed in 455.164 ms, heap usage 459.496 MB -> 90.575 MB. [2026-02-11T23:43:03.726Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:43:13.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:43:22.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:43:29.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:43:32.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:43:36.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:43:39.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:43:43.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:43:43.864Z] 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. [2026-02-11T23:43:43.864Z] The best model improves the baseline by 14.52%. [2026-02-11T23:43:44.838Z] Top recommended movies for user id 72: [2026-02-11T23:43:44.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:43:44.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:43:44.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:43:44.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:43:44.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:43:44.838Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49001.233 ms) ====== [2026-02-11T23:43:44.838Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:43:44.838Z] GC before operation: completed in 313.351 ms, heap usage 517.107 MB -> 90.762 MB. [2026-02-11T23:43:51.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:43:55.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:44:02.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:44:07.793Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:44:10.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:44:13.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:44:17.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:44:20.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:44:21.106Z] 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. [2026-02-11T23:44:21.106Z] The best model improves the baseline by 14.52%. [2026-02-11T23:44:21.106Z] Top recommended movies for user id 72: [2026-02-11T23:44:21.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:44:21.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:44:21.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:44:21.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:44:21.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:44:21.106Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (36387.243 ms) ====== [2026-02-11T23:44:23.090Z] ----------------------------------- [2026-02-11T23:44:23.090Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:44:23.090Z] ----------------------------------- [2026-02-11T23:44:23.090Z] [2026-02-11T23:44:23.090Z] TEST TEARDOWN: [2026-02-11T23:44:23.090Z] Nothing to be done for teardown. [2026-02-11T23:44:23.090Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:44:22 2026 Epoch Time (ms): 1770853462426