[2026-01-15T18:46:52.467Z] Running test renaissance-movie-lens_0 ... [2026-01-15T18:46:52.467Z] =============================================== [2026-01-15T18:46:52.467Z] renaissance-movie-lens_0 Start Time: Thu Jan 15 18:46:51 2026 Epoch Time (ms): 1768502811925 [2026-01-15T18:46:52.467Z] variation: NoOptions [2026-01-15T18:46:52.467Z] JVM_OPTIONS: [2026-01-15T18:46:52.467Z] { \ [2026-01-15T18:46:52.468Z] echo ""; echo "TEST SETUP:"; \ [2026-01-15T18:46:52.468Z] echo "Nothing to be done for setup."; \ [2026-01-15T18:46:52.468Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17685004831590/renaissance-movie-lens_0"; \ [2026-01-15T18:46:52.468Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17685004831590/renaissance-movie-lens_0"; \ [2026-01-15T18:46:52.468Z] echo ""; echo "TESTING:"; \ [2026-01-15T18:46:52.468Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17685004831590/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-15T18:46:52.468Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17685004831590/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-15T18:46:52.468Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-15T18:46:52.468Z] echo "Nothing to be done for teardown."; \ [2026-01-15T18:46:52.468Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17685004831590/TestTargetResult"; [2026-01-15T18:46:52.468Z] [2026-01-15T18:46:52.468Z] TEST SETUP: [2026-01-15T18:46:52.468Z] Nothing to be done for setup. [2026-01-15T18:46:52.468Z] [2026-01-15T18:46:52.468Z] TESTING: [2026-01-15T18:46:57.415Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-15T18:47:05.011Z] 18:47:04.006 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-15T18:47:09.328Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-15T18:47:09.328Z] Training: 60056, validation: 20285, test: 19854 [2026-01-15T18:47:09.328Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-15T18:47:09.328Z] GC before operation: completed in 153.485 ms, heap usage 422.844 MB -> 75.751 MB. [2026-01-15T18:47:16.737Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:47:21.619Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:47:25.485Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:47:30.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:47:32.135Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:47:34.457Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:47:36.786Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:47:38.497Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:47:38.843Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:47:38.843Z] The best model improves the baseline by 14.34%. [2026-01-15T18:47:39.190Z] Top recommended movies for user id 72: [2026-01-15T18:47:39.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:47:39.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:47:39.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:47:39.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:47:39.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:47:39.190Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30972.434 ms) ====== [2026-01-15T18:47:39.190Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-15T18:47:39.190Z] GC before operation: completed in 180.457 ms, heap usage 146.156 MB -> 87.668 MB. [2026-01-15T18:47:42.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:47:45.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:47:48.285Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:47:50.611Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:47:52.322Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:47:53.591Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:47:55.298Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:47:57.013Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:47:57.013Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:47:57.357Z] The best model improves the baseline by 14.34%. [2026-01-15T18:47:57.357Z] Top recommended movies for user id 72: [2026-01-15T18:47:57.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:47:57.357Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:47:57.357Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:47:57.357Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:47:57.357Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:47:57.357Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18100.052 ms) ====== [2026-01-15T18:47:57.357Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-15T18:47:57.705Z] GC before operation: completed in 184.304 ms, heap usage 202.944 MB -> 87.691 MB. [2026-01-15T18:48:00.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:48:03.045Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:48:06.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:48:08.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:48:10.130Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:48:11.318Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:48:13.031Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:48:14.735Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:48:15.074Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:48:15.074Z] The best model improves the baseline by 14.34%. [2026-01-15T18:48:15.074Z] Top recommended movies for user id 72: [2026-01-15T18:48:15.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:48:15.074Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:48:15.074Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:48:15.074Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:48:15.074Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:48:15.074Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17548.644 ms) ====== [2026-01-15T18:48:15.074Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-15T18:48:15.420Z] GC before operation: completed in 176.498 ms, heap usage 228.996 MB -> 88.449 MB. [2026-01-15T18:48:17.757Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:48:20.069Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:48:23.102Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:48:25.433Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:48:27.144Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:48:28.332Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:48:30.040Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:48:31.758Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:48:31.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:48:31.758Z] The best model improves the baseline by 14.34%. [2026-01-15T18:48:31.758Z] Top recommended movies for user id 72: [2026-01-15T18:48:31.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:48:31.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:48:31.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:48:31.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:48:31.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:48:31.758Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16578.212 ms) ====== [2026-01-15T18:48:31.758Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-15T18:48:32.105Z] GC before operation: completed in 168.105 ms, heap usage 655.953 MB -> 92.800 MB. [2026-01-15T18:48:35.138Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:48:37.460Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:48:39.942Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:48:42.264Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:48:43.968Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:48:45.151Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:48:46.858Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:48:48.045Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:48:48.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:48:48.388Z] The best model improves the baseline by 14.34%. [2026-01-15T18:48:48.729Z] Top recommended movies for user id 72: [2026-01-15T18:48:48.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:48:48.729Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:48:48.729Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:48:48.729Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:48:48.729Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:48:48.729Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16620.125 ms) ====== [2026-01-15T18:48:48.729Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-15T18:48:48.729Z] GC before operation: completed in 151.826 ms, heap usage 148.644 MB -> 88.576 MB. [2026-01-15T18:48:51.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:48:54.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:48:56.406Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:48:58.723Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:49:00.437Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:49:01.705Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:49:03.419Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:49:04.608Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:49:04.949Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:49:04.949Z] The best model improves the baseline by 14.34%. [2026-01-15T18:49:04.949Z] Top recommended movies for user id 72: [2026-01-15T18:49:04.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:49:04.949Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:49:04.949Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:49:04.949Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:49:04.949Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:49:04.949Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16235.032 ms) ====== [2026-01-15T18:49:04.949Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-15T18:49:05.293Z] GC before operation: completed in 169.469 ms, heap usage 585.562 MB -> 92.836 MB. [2026-01-15T18:49:07.607Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:49:09.936Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:49:12.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:49:14.689Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:49:16.397Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:49:18.106Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:49:19.290Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:49:21.007Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:49:21.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:49:21.350Z] The best model improves the baseline by 14.34%. [2026-01-15T18:49:21.696Z] Top recommended movies for user id 72: [2026-01-15T18:49:21.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:49:21.696Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:49:21.696Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:49:21.696Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:49:21.696Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:49:21.696Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16304.205 ms) ====== [2026-01-15T18:49:21.696Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-15T18:49:21.696Z] GC before operation: completed in 144.697 ms, heap usage 246.033 MB -> 89.084 MB. [2026-01-15T18:49:24.120Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:49:26.437Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:49:28.754Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:49:31.074Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:49:32.265Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:49:33.974Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:49:35.690Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:49:36.880Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:49:37.222Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:49:37.222Z] The best model improves the baseline by 14.34%. [2026-01-15T18:49:37.222Z] Top recommended movies for user id 72: [2026-01-15T18:49:37.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:49:37.222Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:49:37.222Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:49:37.222Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:49:37.222Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:49:37.222Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15684.249 ms) ====== [2026-01-15T18:49:37.222Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-15T18:49:37.566Z] GC before operation: completed in 144.664 ms, heap usage 166.832 MB -> 89.147 MB. [2026-01-15T18:49:39.891Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:49:42.209Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:49:44.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:49:46.944Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:49:48.652Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:49:49.836Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:49:51.559Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:49:52.749Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:49:52.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:49:52.749Z] The best model improves the baseline by 14.34%. [2026-01-15T18:49:53.094Z] Top recommended movies for user id 72: [2026-01-15T18:49:53.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:49:53.094Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:49:53.094Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:49:53.094Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:49:53.094Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:49:53.094Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15600.446 ms) ====== [2026-01-15T18:49:53.094Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-15T18:49:53.439Z] GC before operation: completed in 151.530 ms, heap usage 148.697 MB -> 89.054 MB. [2026-01-15T18:49:55.769Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:49:58.099Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:50:00.422Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:50:02.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:50:03.923Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:50:05.627Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:50:06.813Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:50:08.549Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:50:08.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:50:08.890Z] The best model improves the baseline by 14.34%. [2026-01-15T18:50:08.890Z] Top recommended movies for user id 72: [2026-01-15T18:50:08.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:50:08.890Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:50:08.890Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:50:08.890Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:50:08.890Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:50:08.890Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15587.738 ms) ====== [2026-01-15T18:50:08.890Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-15T18:50:08.890Z] GC before operation: completed in 155.646 ms, heap usage 353.597 MB -> 89.615 MB. [2026-01-15T18:50:11.204Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:50:13.525Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:50:16.548Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:50:18.257Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:50:19.444Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:50:21.163Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:50:22.348Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:50:23.531Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:50:23.874Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:50:23.874Z] The best model improves the baseline by 14.34%. [2026-01-15T18:50:24.216Z] Top recommended movies for user id 72: [2026-01-15T18:50:24.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:50:24.216Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:50:24.216Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:50:24.216Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:50:24.216Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:50:24.216Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15140.280 ms) ====== [2026-01-15T18:50:24.216Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-15T18:50:24.216Z] GC before operation: completed in 151.156 ms, heap usage 229.613 MB -> 89.074 MB. [2026-01-15T18:50:27.355Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:50:29.671Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:50:31.993Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:50:34.312Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:50:35.496Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:50:36.679Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:50:38.394Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:50:39.695Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:50:39.695Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:50:39.695Z] The best model improves the baseline by 14.34%. [2026-01-15T18:50:40.042Z] Top recommended movies for user id 72: [2026-01-15T18:50:40.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:50:40.042Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:50:40.042Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:50:40.042Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:50:40.042Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:50:40.042Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15634.552 ms) ====== [2026-01-15T18:50:40.042Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-15T18:50:40.042Z] GC before operation: completed in 143.559 ms, heap usage 406.332 MB -> 89.606 MB. [2026-01-15T18:50:42.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:50:44.685Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:50:47.003Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:50:49.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:50:50.507Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:50:51.690Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:50:53.399Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:50:54.583Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:50:54.924Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:50:54.924Z] The best model improves the baseline by 14.34%. [2026-01-15T18:50:55.265Z] Top recommended movies for user id 72: [2026-01-15T18:50:55.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:50:55.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:50:55.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:50:55.265Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:50:55.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:50:55.265Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15052.853 ms) ====== [2026-01-15T18:50:55.265Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-15T18:50:55.265Z] GC before operation: completed in 143.946 ms, heap usage 180.564 MB -> 89.225 MB. [2026-01-15T18:50:57.579Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:50:59.902Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:51:02.223Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:51:04.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:51:05.808Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:51:07.512Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:51:08.694Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:51:10.401Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:51:10.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:51:10.401Z] The best model improves the baseline by 14.34%. [2026-01-15T18:51:10.401Z] Top recommended movies for user id 72: [2026-01-15T18:51:10.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:51:10.401Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:51:10.401Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:51:10.401Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:51:10.401Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:51:10.401Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15202.038 ms) ====== [2026-01-15T18:51:10.401Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-15T18:51:10.744Z] GC before operation: completed in 148.274 ms, heap usage 405.671 MB -> 89.542 MB. [2026-01-15T18:51:13.061Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:51:15.372Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:51:17.693Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:51:20.004Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:51:21.187Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:51:22.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:51:24.165Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:51:25.347Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:51:25.347Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:51:25.689Z] The best model improves the baseline by 14.34%. [2026-01-15T18:51:25.689Z] Top recommended movies for user id 72: [2026-01-15T18:51:25.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:51:25.689Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:51:25.689Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:51:25.689Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:51:25.689Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:51:25.689Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15030.667 ms) ====== [2026-01-15T18:51:25.689Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-15T18:51:25.689Z] GC before operation: completed in 143.602 ms, heap usage 181.062 MB -> 89.251 MB. [2026-01-15T18:51:28.005Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:51:30.321Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:51:32.641Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:51:34.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:51:36.142Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:51:37.323Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:51:39.031Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:51:40.215Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:51:40.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:51:40.215Z] The best model improves the baseline by 14.34%. [2026-01-15T18:51:40.560Z] Top recommended movies for user id 72: [2026-01-15T18:51:40.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:51:40.560Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:51:40.560Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:51:40.560Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:51:40.560Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:51:40.560Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14620.251 ms) ====== [2026-01-15T18:51:40.560Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-15T18:51:40.560Z] GC before operation: completed in 147.450 ms, heap usage 115.425 MB -> 90.218 MB. [2026-01-15T18:51:42.966Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:51:45.286Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:51:47.600Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:51:49.920Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:51:51.106Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:51:52.295Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:51:53.995Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:51:55.184Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:51:55.184Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:51:55.184Z] The best model improves the baseline by 14.34%. [2026-01-15T18:51:55.526Z] Top recommended movies for user id 72: [2026-01-15T18:51:55.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:51:55.526Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:51:55.526Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:51:55.526Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:51:55.526Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:51:55.526Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14866.727 ms) ====== [2026-01-15T18:51:55.526Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-15T18:51:55.526Z] GC before operation: completed in 155.844 ms, heap usage 713.042 MB -> 93.807 MB. [2026-01-15T18:51:57.841Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:52:00.158Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:52:02.471Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:52:04.871Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:52:06.057Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:52:07.766Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:52:08.949Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:52:10.657Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:52:10.657Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:52:10.657Z] The best model improves the baseline by 14.34%. [2026-01-15T18:52:10.657Z] Top recommended movies for user id 72: [2026-01-15T18:52:10.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:52:10.657Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:52:10.657Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:52:10.657Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:52:10.657Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:52:10.657Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15211.644 ms) ====== [2026-01-15T18:52:10.657Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-15T18:52:11.001Z] GC before operation: completed in 143.621 ms, heap usage 253.407 MB -> 89.242 MB. [2026-01-15T18:52:13.320Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:52:15.636Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:52:17.961Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:52:19.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:52:21.374Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:52:22.638Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:52:23.828Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:52:25.538Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:52:25.538Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:52:25.538Z] The best model improves the baseline by 14.34%. [2026-01-15T18:52:25.538Z] Top recommended movies for user id 72: [2026-01-15T18:52:25.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:52:25.538Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:52:25.538Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:52:25.538Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:52:25.538Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:52:25.538Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14733.825 ms) ====== [2026-01-15T18:52:25.538Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-15T18:52:25.882Z] GC before operation: completed in 151.067 ms, heap usage 447.059 MB -> 92.813 MB. [2026-01-15T18:52:28.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-15T18:52:30.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-15T18:52:32.837Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-15T18:52:34.648Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-15T18:52:36.361Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-15T18:52:37.540Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-15T18:52:38.727Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-15T18:52:39.910Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-15T18:52:40.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-15T18:52:40.251Z] The best model improves the baseline by 14.34%. [2026-01-15T18:52:40.594Z] Top recommended movies for user id 72: [2026-01-15T18:52:40.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-15T18:52:40.594Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-15T18:52:40.594Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-15T18:52:40.594Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-15T18:52:40.594Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-15T18:52:40.594Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14650.395 ms) ====== [2026-01-15T18:52:40.940Z] ----------------------------------- [2026-01-15T18:52:40.940Z] renaissance-movie-lens_0_PASSED [2026-01-15T18:52:40.940Z] ----------------------------------- [2026-01-15T18:52:40.940Z] [2026-01-15T18:52:40.940Z] TEST TEARDOWN: [2026-01-15T18:52:40.940Z] Nothing to be done for teardown. [2026-01-15T18:52:40.940Z] renaissance-movie-lens_0 Finish Time: Thu Jan 15 18:52:40 2026 Epoch Time (ms): 1768503160819