[2026-02-11T22:58:38.317Z] Running test renaissance-movie-lens_0 ... [2026-02-11T22:58:38.317Z] =============================================== [2026-02-11T22:58:38.317Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 22:58:38 2026 Epoch Time (ms): 1770850718180 [2026-02-11T22:58:38.317Z] variation: NoOptions [2026-02-11T22:58:38.317Z] JVM_OPTIONS: [2026-02-11T22:58:38.317Z] { \ [2026-02-11T22:58:38.317Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T22:58:38.317Z] echo "Nothing to be done for setup."; \ [2026-02-11T22:58:38.317Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708494377957/renaissance-movie-lens_0"; \ [2026-02-11T22:58:38.317Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708494377957/renaissance-movie-lens_0"; \ [2026-02-11T22:58:38.318Z] echo ""; echo "TESTING:"; \ [2026-02-11T22:58:38.318Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708494377957/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T22:58:38.318Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708494377957/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T22:58:38.318Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T22:58:38.318Z] echo "Nothing to be done for teardown."; \ [2026-02-11T22:58:38.318Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708494377957/TestTargetResult"; [2026-02-11T22:58:38.318Z] [2026-02-11T22:58:38.318Z] TEST SETUP: [2026-02-11T22:58:38.318Z] Nothing to be done for setup. [2026-02-11T22:58:38.318Z] [2026-02-11T22:58:38.318Z] TESTING: [2026-02-11T22:58:44.186Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-11T22:58:53.051Z] 22:58:51.523 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-11T22:58:54.700Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T22:58:55.846Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T22:58:55.846Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T22:58:55.846Z] GC before operation: completed in 165.690 ms, heap usage 386.757 MB -> 75.336 MB. [2026-02-11T22:59:04.742Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:59:10.707Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:59:17.955Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:59:20.897Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:59:23.832Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:59:26.076Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:59:28.362Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:59:30.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:59:30.720Z] 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. [2026-02-11T22:59:30.720Z] The best model improves the baseline by 14.34%. [2026-02-11T22:59:31.055Z] Top recommended movies for user id 72: [2026-02-11T22:59:31.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:59:31.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:59:31.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:59:31.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:59:31.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:59:31.055Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35066.751 ms) ====== [2026-02-11T22:59:31.055Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T22:59:31.055Z] GC before operation: completed in 156.984 ms, heap usage 375.362 MB -> 87.884 MB. [2026-02-11T22:59:34.813Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:59:37.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:59:40.926Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:59:43.198Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:59:44.828Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:59:46.482Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:59:48.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T22:59:49.783Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T22:59:50.107Z] 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. [2026-02-11T22:59:50.434Z] The best model improves the baseline by 14.34%. [2026-02-11T22:59:50.434Z] Top recommended movies for user id 72: [2026-02-11T22:59:50.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T22:59:50.434Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T22:59:50.434Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T22:59:50.434Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T22:59:50.434Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T22:59:50.434Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19339.187 ms) ====== [2026-02-11T22:59:50.434Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T22:59:50.760Z] GC before operation: completed in 156.546 ms, heap usage 280.215 MB -> 87.747 MB. [2026-02-11T22:59:53.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:59:56.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:59:58.919Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:01.953Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:03.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:05.545Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:00:07.606Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:09.376Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:09.756Z] 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. [2026-02-11T23:00:09.756Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:09.756Z] Top recommended movies for user id 72: [2026-02-11T23:00:09.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:09.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:09.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:09.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:09.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:09.756Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19148.283 ms) ====== [2026-02-11T23:00:09.756Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:00:10.124Z] GC before operation: completed in 149.032 ms, heap usage 572.831 MB -> 91.980 MB. [2026-02-11T23:00:12.794Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:15.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:18.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:20.636Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:22.545Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:24.510Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:00:25.828Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:27.618Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:27.619Z] 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. [2026-02-11T23:00:27.619Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:27.980Z] Top recommended movies for user id 72: [2026-02-11T23:00:27.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:27.980Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:27.980Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:27.980Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:27.980Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:27.980Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18028.407 ms) ====== [2026-02-11T23:00:27.980Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:00:28.362Z] GC before operation: completed in 162.342 ms, heap usage 146.452 MB -> 88.404 MB. [2026-02-11T23:00:30.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:33.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:36.777Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:39.085Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:40.250Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:42.052Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:00:43.730Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:45.393Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:45.393Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:00:45.393Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:45.393Z] Top recommended movies for user id 72: [2026-02-11T23:00:45.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:45.393Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:45.393Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:45.394Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:45.394Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:45.394Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17389.058 ms) ====== [2026-02-11T23:00:45.394Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:00:45.733Z] GC before operation: completed in 144.986 ms, heap usage 575.126 MB -> 92.269 MB. [2026-02-11T23:00:48.115Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:51.119Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:53.391Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:56.329Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:57.469Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:59.117Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:00.794Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:02.562Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:02.562Z] 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. [2026-02-11T23:01:02.562Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:02.921Z] Top recommended movies for user id 72: [2026-02-11T23:01:02.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:02.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:02.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:02.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:02.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:02.921Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17190.917 ms) ====== [2026-02-11T23:01:02.921Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:01:02.921Z] GC before operation: completed in 141.819 ms, heap usage 315.088 MB -> 88.936 MB. [2026-02-11T23:01:05.902Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:08.190Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:10.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:01:13.519Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:01:15.178Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:01:16.866Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:18.505Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:20.148Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:20.148Z] 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. [2026-02-11T23:01:20.472Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:20.472Z] Top recommended movies for user id 72: [2026-02-11T23:01:20.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:20.472Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:20.472Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:20.472Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:20.472Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:20.472Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17561.395 ms) ====== [2026-02-11T23:01:20.472Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:01:20.795Z] GC before operation: completed in 159.234 ms, heap usage 413.201 MB -> 89.098 MB. [2026-02-11T23:01:23.737Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:26.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:28.967Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:01:30.641Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:01:32.348Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:01:33.887Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:35.592Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:37.261Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:37.595Z] 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. [2026-02-11T23:01:37.595Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:37.595Z] Top recommended movies for user id 72: [2026-02-11T23:01:37.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:37.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:37.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:37.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:37.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:37.595Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16966.748 ms) ====== [2026-02-11T23:01:37.595Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:01:37.965Z] GC before operation: completed in 147.878 ms, heap usage 367.418 MB -> 89.282 MB. [2026-02-11T23:01:40.256Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:42.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:45.654Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:01:47.967Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:01:49.640Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:01:51.424Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:53.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:54.275Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:54.602Z] 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. [2026-02-11T23:01:54.602Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:54.927Z] Top recommended movies for user id 72: [2026-02-11T23:01:54.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:54.927Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:54.927Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:54.927Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:54.927Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:54.927Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17000.135 ms) ====== [2026-02-11T23:01:54.927Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:01:54.927Z] GC before operation: completed in 140.776 ms, heap usage 314.033 MB -> 89.133 MB. [2026-02-11T23:01:57.951Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:00.227Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:02.471Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:04.786Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:06.441Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:08.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:09.758Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:10.904Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:11.245Z] 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. [2026-02-11T23:02:11.571Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:11.571Z] Top recommended movies for user id 72: [2026-02-11T23:02:11.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:11.571Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:11.571Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:11.571Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:11.571Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:11.571Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16543.338 ms) ====== [2026-02-11T23:02:11.571Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:02:11.572Z] GC before operation: completed in 154.183 ms, heap usage 314.704 MB -> 89.261 MB. [2026-02-11T23:02:14.531Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:16.772Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:19.118Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:21.366Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:23.028Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:24.680Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:26.332Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:27.991Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:28.318Z] 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. [2026-02-11T23:02:28.318Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:28.318Z] Top recommended movies for user id 72: [2026-02-11T23:02:28.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:28.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:28.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:28.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:28.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:28.318Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16613.083 ms) ====== [2026-02-11T23:02:28.318Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:02:28.318Z] GC before operation: completed in 142.266 ms, heap usage 396.331 MB -> 89.136 MB. [2026-02-11T23:02:31.263Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:33.167Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:36.106Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:38.344Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:39.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:41.224Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:42.879Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:44.522Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:44.522Z] 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. [2026-02-11T23:02:44.522Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:44.850Z] Top recommended movies for user id 72: [2026-02-11T23:02:44.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:44.850Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:44.850Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:44.850Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:44.850Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:44.850Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16319.098 ms) ====== [2026-02-11T23:02:44.850Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:02:44.850Z] GC before operation: completed in 142.214 ms, heap usage 249.760 MB -> 89.155 MB. [2026-02-11T23:02:47.839Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:50.068Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:52.306Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:54.592Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:56.252Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:57.920Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:59.580Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:00.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:01.190Z] 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. [2026-02-11T23:03:01.190Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:01.190Z] Top recommended movies for user id 72: [2026-02-11T23:03:01.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:01.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:01.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:01.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:01.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:01.190Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16394.161 ms) ====== [2026-02-11T23:03:01.190Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:03:01.562Z] GC before operation: completed in 215.620 ms, heap usage 366.570 MB -> 89.489 MB. [2026-02-11T23:03:04.570Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:06.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:09.072Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:11.378Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:03:13.078Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:14.242Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:15.913Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:17.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:17.553Z] 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. [2026-02-11T23:03:17.553Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:17.887Z] Top recommended movies for user id 72: [2026-02-11T23:03:17.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:17.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:17.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:17.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:17.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:17.887Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16186.167 ms) ====== [2026-02-11T23:03:17.887Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:03:17.887Z] GC before operation: completed in 143.183 ms, heap usage 186.085 MB -> 89.089 MB. [2026-02-11T23:03:20.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:23.085Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:25.311Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:27.544Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:03:29.193Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:30.361Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:32.014Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:33.153Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:33.474Z] 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. [2026-02-11T23:03:33.474Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:33.799Z] Top recommended movies for user id 72: [2026-02-11T23:03:33.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:33.799Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:33.799Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:33.799Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:33.799Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:33.799Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15799.709 ms) ====== [2026-02-11T23:03:33.799Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:03:33.799Z] GC before operation: completed in 149.404 ms, heap usage 647.755 MB -> 93.164 MB. [2026-02-11T23:03:36.093Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:38.344Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:41.268Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:43.580Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:03:44.714Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:46.380Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:48.034Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:49.170Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:49.494Z] 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. [2026-02-11T23:03:49.494Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:49.819Z] Top recommended movies for user id 72: [2026-02-11T23:03:49.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:49.819Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:49.819Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:49.819Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:49.819Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:49.819Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15923.734 ms) ====== [2026-02-11T23:03:49.819Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:03:49.819Z] GC before operation: completed in 140.195 ms, heap usage 431.358 MB -> 89.413 MB. [2026-02-11T23:03:52.053Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:55.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:57.275Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:59.518Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:01.199Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:02.420Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:04.071Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:05.220Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:05.550Z] 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. [2026-02-11T23:04:05.550Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:05.550Z] Top recommended movies for user id 72: [2026-02-11T23:04:05.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:05.550Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:05.550Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:05.550Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:05.550Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:05.550Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15813.571 ms) ====== [2026-02-11T23:04:05.550Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:04:05.893Z] GC before operation: completed in 143.744 ms, heap usage 312.652 MB -> 89.414 MB. [2026-02-11T23:04:08.138Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:11.077Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:13.304Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:15.539Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:16.669Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:18.307Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:19.946Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:21.081Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:21.404Z] 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. [2026-02-11T23:04:21.404Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:21.731Z] Top recommended movies for user id 72: [2026-02-11T23:04:21.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:21.731Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:21.731Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:21.731Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:21.731Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:21.731Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15838.827 ms) ====== [2026-02-11T23:04:21.731Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:04:21.731Z] GC before operation: completed in 142.646 ms, heap usage 265.993 MB -> 89.077 MB. [2026-02-11T23:04:23.971Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:26.329Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:29.257Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:31.486Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:32.642Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:34.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:35.944Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:37.093Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:37.415Z] 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. [2026-02-11T23:04:37.415Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:37.415Z] Top recommended movies for user id 72: [2026-02-11T23:04:37.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:37.415Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:37.415Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:37.415Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:37.415Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:37.415Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15616.996 ms) ====== [2026-02-11T23:04:37.415Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:04:37.738Z] GC before operation: completed in 146.781 ms, heap usage 452.453 MB -> 89.423 MB. [2026-02-11T23:04:39.974Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:42.208Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:45.145Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:46.815Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:48.462Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:50.127Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:51.268Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:52.929Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:52.929Z] 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. [2026-02-11T23:04:52.929Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:53.256Z] Top recommended movies for user id 72: [2026-02-11T23:04:53.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:53.256Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:53.256Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:53.256Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:53.256Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:53.256Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15596.374 ms) ====== [2026-02-11T23:04:53.583Z] ----------------------------------- [2026-02-11T23:04:53.583Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:04:53.583Z] ----------------------------------- [2026-02-11T23:04:53.583Z] [2026-02-11T23:04:53.583Z] TEST TEARDOWN: [2026-02-11T23:04:53.583Z] Nothing to be done for teardown. [2026-02-11T23:04:53.583Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:04:53 2026 Epoch Time (ms): 1770851093447