[2026-03-04T22:24:25.321Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:24:25.321Z] =============================================== [2026-03-04T22:24:25.321Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 22:24:25 2026 Epoch Time (ms): 1772663065145 [2026-03-04T22:24:25.321Z] variation: NoOptions [2026-03-04T22:24:25.321Z] JVM_OPTIONS: [2026-03-04T22:24:25.321Z] { \ [2026-03-04T22:24:25.321Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:24:25.321Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:24:25.321Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726618416037/renaissance-movie-lens_0"; \ [2026-03-04T22:24:25.321Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726618416037/renaissance-movie-lens_0"; \ [2026-03-04T22:24:25.321Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:24:25.321Z] "/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_17726618416037/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:24:25.321Z] 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_17726618416037/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:24:25.321Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:24:25.321Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:24:25.321Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726618416037/TestTargetResult"; [2026-03-04T22:24:25.321Z] [2026-03-04T22:24:25.321Z] TEST SETUP: [2026-03-04T22:24:25.321Z] Nothing to be done for setup. [2026-03-04T22:24:25.321Z] [2026-03-04T22:24:25.321Z] TESTING: [2026-03-04T22:24:32.834Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T22:24:44.064Z] 22:24:42.186 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T22:24:45.902Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:24:46.265Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:24:46.265Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:24:46.796Z] GC before operation: completed in 164.757 ms, heap usage 273.763 MB -> 75.975 MB. [2026-03-04T22:24:56.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:00.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:05.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:08.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:11.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:13.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:16.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:18.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:18.392Z] 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. [2026-03-04T22:25:18.392Z] The best model improves the baseline by 14.52%. [2026-03-04T22:25:18.744Z] Top recommended movies for user id 72: [2026-03-04T22:25:18.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:25:18.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:25:18.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:25:18.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:25:18.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:25:18.744Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32233.594 ms) ====== [2026-03-04T22:25:18.744Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:25:18.744Z] GC before operation: completed in 149.909 ms, heap usage 399.312 MB -> 89.062 MB. [2026-03-04T22:25:22.826Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:26.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:30.975Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:34.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:35.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:38.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:40.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:42.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:43.137Z] 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. [2026-03-04T22:25:43.137Z] The best model improves the baseline by 14.52%. [2026-03-04T22:25:43.137Z] Top recommended movies for user id 72: [2026-03-04T22:25:43.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:25:43.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:25:43.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:25:43.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:25:43.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:25:43.137Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24415.451 ms) ====== [2026-03-04T22:25:43.137Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:25:43.512Z] GC before operation: completed in 147.148 ms, heap usage 119.610 MB -> 91.740 MB. [2026-03-04T22:25:46.868Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:50.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:53.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:56.567Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:59.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:26:00.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:26:02.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:04.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:04.891Z] 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. [2026-03-04T22:26:04.891Z] The best model improves the baseline by 14.52%. [2026-03-04T22:26:05.248Z] Top recommended movies for user id 72: [2026-03-04T22:26:05.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:26:05.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:26:05.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:26:05.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:26:05.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:26:05.248Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21698.311 ms) ====== [2026-03-04T22:26:05.248Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:26:05.248Z] GC before operation: completed in 152.748 ms, heap usage 175.288 MB -> 89.318 MB. [2026-03-04T22:26:08.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:26:11.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:26:14.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:26:17.389Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:26:19.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:26:21.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:26:23.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:25.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:25.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T22:26:25.899Z] The best model improves the baseline by 14.52%. [2026-03-04T22:26:26.261Z] Top recommended movies for user id 72: [2026-03-04T22:26:26.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:26:26.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:26:26.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:26:26.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:26:26.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:26:26.261Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20823.769 ms) ====== [2026-03-04T22:26:26.261Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:26:26.261Z] GC before operation: completed in 146.335 ms, heap usage 194.063 MB -> 89.694 MB. [2026-03-04T22:26:29.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:26:32.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:26:36.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:26:39.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:26:41.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:26:43.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:26:45.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:47.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:47.773Z] 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. [2026-03-04T22:26:48.142Z] The best model improves the baseline by 14.52%. [2026-03-04T22:26:48.142Z] Top recommended movies for user id 72: [2026-03-04T22:26:48.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:26:48.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:26:48.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:26:48.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:26:48.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:26:48.142Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21931.055 ms) ====== [2026-03-04T22:26:48.142Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:26:48.500Z] GC before operation: completed in 141.644 ms, heap usage 144.041 MB -> 89.512 MB. [2026-03-04T22:26:51.727Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:26:54.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:26:58.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:27:01.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:27:03.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:27:04.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:27:06.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:27:08.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:27:09.031Z] 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. [2026-03-04T22:27:09.031Z] The best model improves the baseline by 14.52%. [2026-03-04T22:27:09.031Z] Top recommended movies for user id 72: [2026-03-04T22:27:09.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:27:09.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:27:09.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:27:09.031Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:27:09.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:27:09.031Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20838.069 ms) ====== [2026-03-04T22:27:09.031Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:27:09.412Z] GC before operation: completed in 142.628 ms, heap usage 339.781 MB -> 90.165 MB. [2026-03-04T22:27:12.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:27:15.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:27:18.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:27:21.569Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:27:23.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:27:25.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:27:27.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:27:29.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:27:29.458Z] 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. [2026-03-04T22:27:29.458Z] The best model improves the baseline by 14.52%. [2026-03-04T22:27:29.834Z] Top recommended movies for user id 72: [2026-03-04T22:27:29.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:27:29.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:27:29.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:27:29.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:27:29.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:27:29.834Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20344.537 ms) ====== [2026-03-04T22:27:29.834Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:27:29.834Z] GC before operation: completed in 140.479 ms, heap usage 415.295 MB -> 90.183 MB. [2026-03-04T22:27:33.075Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:27:35.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:27:38.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:27:41.218Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:27:43.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:27:44.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:27:46.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:27:48.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:27:48.454Z] 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. [2026-03-04T22:27:48.454Z] The best model improves the baseline by 14.52%. [2026-03-04T22:27:48.823Z] Top recommended movies for user id 72: [2026-03-04T22:27:48.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:27:48.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:27:48.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:27:48.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:27:48.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:27:48.823Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18841.303 ms) ====== [2026-03-04T22:27:48.823Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:27:48.823Z] GC before operation: completed in 144.175 ms, heap usage 478.689 MB -> 90.480 MB. [2026-03-04T22:27:52.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:27:54.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:27:57.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:28:00.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:28:02.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:28:04.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:28:05.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:28:07.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:28:07.679Z] 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. [2026-03-04T22:28:07.679Z] The best model improves the baseline by 14.52%. [2026-03-04T22:28:08.046Z] Top recommended movies for user id 72: [2026-03-04T22:28:08.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:28:08.046Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:28:08.046Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:28:08.046Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:28:08.046Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:28:08.046Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19138.019 ms) ====== [2026-03-04T22:28:08.046Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:28:08.046Z] GC before operation: completed in 149.536 ms, heap usage 277.865 MB -> 90.085 MB. [2026-03-04T22:28:11.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:28:13.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:28:16.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:28:20.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:28:21.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:28:23.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:28:26.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:28:27.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:28:27.717Z] 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. [2026-03-04T22:28:27.717Z] The best model improves the baseline by 14.52%. [2026-03-04T22:28:27.717Z] Top recommended movies for user id 72: [2026-03-04T22:28:27.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:28:27.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:28:27.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:28:27.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:28:27.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:28:27.717Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19799.850 ms) ====== [2026-03-04T22:28:27.717Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:28:28.082Z] GC before operation: completed in 142.906 ms, heap usage 289.726 MB -> 90.463 MB. [2026-03-04T22:28:31.443Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:28:34.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:28:37.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:28:40.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:28:42.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:28:43.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:28:45.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:28:48.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:28:48.143Z] 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. [2026-03-04T22:28:48.143Z] The best model improves the baseline by 14.52%. [2026-03-04T22:28:48.514Z] Top recommended movies for user id 72: [2026-03-04T22:28:48.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:28:48.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:28:48.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:28:48.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:28:48.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:28:48.514Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20321.567 ms) ====== [2026-03-04T22:28:48.514Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:28:48.514Z] GC before operation: completed in 143.172 ms, heap usage 294.809 MB -> 90.093 MB. [2026-03-04T22:28:51.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:28:54.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:28:57.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:29:00.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:29:02.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:29:04.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:29:06.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:29:07.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:29:08.648Z] 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. [2026-03-04T22:29:08.648Z] The best model improves the baseline by 14.52%. [2026-03-04T22:29:08.648Z] Top recommended movies for user id 72: [2026-03-04T22:29:08.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:29:08.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:29:08.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:29:08.648Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:29:08.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:29:08.648Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20200.833 ms) ====== [2026-03-04T22:29:08.648Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:29:08.648Z] GC before operation: completed in 138.382 ms, heap usage 126.510 MB -> 90.078 MB. [2026-03-04T22:29:11.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:15.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:29:17.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:29:20.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:29:21.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:29:24.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:29:25.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:29:27.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:29:28.306Z] 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. [2026-03-04T22:29:28.306Z] The best model improves the baseline by 14.52%. [2026-03-04T22:29:28.306Z] Top recommended movies for user id 72: [2026-03-04T22:29:28.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:29:28.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:29:28.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:29:28.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:29:28.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:29:28.306Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19560.746 ms) ====== [2026-03-04T22:29:28.306Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:29:28.678Z] GC before operation: completed in 139.622 ms, heap usage 372.702 MB -> 90.521 MB. [2026-03-04T22:29:31.822Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:35.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:29:38.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:29:40.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:29:43.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:29:44.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:29:46.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:29:48.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:29:48.552Z] 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. [2026-03-04T22:29:48.552Z] The best model improves the baseline by 14.52%. [2026-03-04T22:29:48.916Z] Top recommended movies for user id 72: [2026-03-04T22:29:48.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:29:48.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:29:48.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:29:48.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:29:48.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:29:48.916Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20358.113 ms) ====== [2026-03-04T22:29:48.916Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:29:48.916Z] GC before operation: completed in 143.953 ms, heap usage 159.984 MB -> 90.286 MB. [2026-03-04T22:29:52.066Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:55.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:29:57.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:30:00.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:30:01.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:30:03.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:30:05.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:30:07.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:30:07.353Z] 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. [2026-03-04T22:30:07.707Z] The best model improves the baseline by 14.52%. [2026-03-04T22:30:07.707Z] Top recommended movies for user id 72: [2026-03-04T22:30:07.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:30:07.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:30:07.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:30:07.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:30:07.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:30:07.707Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18715.473 ms) ====== [2026-03-04T22:30:07.707Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:30:08.063Z] GC before operation: completed in 148.423 ms, heap usage 162.516 MB -> 91.898 MB. [2026-03-04T22:30:11.224Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:30:13.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:30:17.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:30:20.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:30:21.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:30:23.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:30:25.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:30:26.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:30:26.967Z] 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. [2026-03-04T22:30:27.320Z] The best model improves the baseline by 14.52%. [2026-03-04T22:30:27.320Z] Top recommended movies for user id 72: [2026-03-04T22:30:27.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:30:27.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:30:27.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:30:27.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:30:27.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:30:27.320Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19470.856 ms) ====== [2026-03-04T22:30:27.320Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:30:27.672Z] GC before operation: completed in 143.670 ms, heap usage 222.511 MB -> 90.210 MB. [2026-03-04T22:30:30.889Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:30:34.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:30:36.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:30:39.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:30:41.456Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:30:43.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:30:45.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:30:47.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:30:47.477Z] 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. [2026-03-04T22:30:47.477Z] The best model improves the baseline by 14.52%. [2026-03-04T22:30:47.477Z] Top recommended movies for user id 72: [2026-03-04T22:30:47.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:30:47.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:30:47.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:30:47.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:30:47.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:30:47.477Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20137.495 ms) ====== [2026-03-04T22:30:47.477Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:30:47.841Z] GC before operation: completed in 143.399 ms, heap usage 175.752 MB -> 90.297 MB. [2026-03-04T22:30:51.024Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:30:53.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:30:56.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:30:59.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:31:01.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:31:03.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:31:05.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:31:07.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:31:07.068Z] 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. [2026-03-04T22:31:07.068Z] The best model improves the baseline by 14.52%. [2026-03-04T22:31:07.427Z] Top recommended movies for user id 72: [2026-03-04T22:31:07.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:31:07.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:31:07.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:31:07.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:31:07.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:31:07.427Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19685.180 ms) ====== [2026-03-04T22:31:07.427Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:31:07.781Z] GC before operation: completed in 142.920 ms, heap usage 362.988 MB -> 90.396 MB. [2026-03-04T22:31:10.922Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:31:14.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:31:16.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:31:19.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:31:21.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:31:23.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:31:25.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:31:27.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:31:27.217Z] 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. [2026-03-04T22:31:27.217Z] The best model improves the baseline by 14.52%. [2026-03-04T22:31:27.573Z] Top recommended movies for user id 72: [2026-03-04T22:31:27.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:31:27.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:31:27.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:31:27.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:31:27.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:31:27.573Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19810.980 ms) ====== [2026-03-04T22:31:27.573Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:31:27.573Z] GC before operation: completed in 141.877 ms, heap usage 472.193 MB -> 90.663 MB. [2026-03-04T22:31:30.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:31:33.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:31:36.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:31:39.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:31:41.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:31:43.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:31:45.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:31:46.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:31:47.052Z] 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. [2026-03-04T22:31:47.412Z] The best model improves the baseline by 14.52%. [2026-03-04T22:31:47.412Z] Top recommended movies for user id 72: [2026-03-04T22:31:47.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:31:47.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:31:47.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:31:47.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:31:47.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:31:47.412Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19879.471 ms) ====== [2026-03-04T22:31:48.177Z] ----------------------------------- [2026-03-04T22:31:48.177Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:31:48.177Z] ----------------------------------- [2026-03-04T22:31:48.177Z] [2026-03-04T22:31:48.177Z] TEST TEARDOWN: [2026-03-04T22:31:48.177Z] Nothing to be done for teardown. [2026-03-04T22:31:48.177Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 22:31:47 2026 Epoch Time (ms): 1772663507965