[2026-04-14T12:11:20.103Z] Running test renaissance-movie-lens_0 ... [2026-04-14T12:11:20.103Z] =============================================== [2026-04-14T12:11:20.103Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 12:11:19 2026 Epoch Time (ms): 1776168679580 [2026-04-14T12:11:20.103Z] variation: NoOptions [2026-04-14T12:11:20.103Z] JVM_OPTIONS: [2026-04-14T12:11:20.103Z] { \ [2026-04-14T12:11:20.103Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T12:11:20.103Z] echo "Nothing to be done for setup."; \ [2026-04-14T12:11:20.103Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761678095191/renaissance-movie-lens_0"; \ [2026-04-14T12:11:20.103Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761678095191/renaissance-movie-lens_0"; \ [2026-04-14T12:11:20.103Z] echo ""; echo "TESTING:"; \ [2026-04-14T12:11:20.103Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761678095191/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T12:11:20.103Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761678095191/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T12:11:20.103Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T12:11:20.103Z] echo "Nothing to be done for teardown."; \ [2026-04-14T12:11:20.103Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761678095191/TestTargetResult"; [2026-04-14T12:11:20.103Z] [2026-04-14T12:11:20.103Z] TEST SETUP: [2026-04-14T12:11:20.104Z] Nothing to be done for setup. [2026-04-14T12:11:20.104Z] [2026-04-14T12:11:20.104Z] TESTING: [2026-04-14T12:11:22.870Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-14T12:11:26.521Z] 12:11:26.216 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. [2026-04-14T12:11:27.783Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T12:11:28.388Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T12:11:28.388Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T12:11:28.388Z] GC before operation: completed in 125.014 ms, heap usage 289.578 MB -> 75.780 MB. [2026-04-14T12:11:33.002Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:11:35.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:11:37.839Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:11:39.816Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:11:41.081Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:11:42.345Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:11:44.046Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:11:45.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:11:45.309Z] 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. [2026-04-14T12:11:45.309Z] The best model improves the baseline by 14.34%. [2026-04-14T12:11:45.309Z] Top recommended movies for user id 72: [2026-04-14T12:11:45.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:11:45.309Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:11:45.309Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:11:45.309Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:11:45.309Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:11:45.309Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (16710.815 ms) ====== [2026-04-14T12:11:45.309Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T12:11:45.309Z] GC before operation: completed in 155.377 ms, heap usage 348.794 MB -> 101.293 MB. [2026-04-14T12:11:47.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:11:49.264Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:11:51.244Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:11:53.310Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:11:54.574Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:11:55.178Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:11:56.437Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:11:57.699Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:11:57.699Z] 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. [2026-04-14T12:11:57.699Z] The best model improves the baseline by 14.34%. [2026-04-14T12:11:57.699Z] Top recommended movies for user id 72: [2026-04-14T12:11:57.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:11:57.699Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:11:57.699Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:11:57.699Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:11:57.699Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:11:57.699Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12235.173 ms) ====== [2026-04-14T12:11:57.699Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T12:11:57.699Z] GC before operation: completed in 88.675 ms, heap usage 168.504 MB -> 90.211 MB. [2026-04-14T12:11:59.700Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:12:00.965Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:12:02.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:12:04.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:12:05.462Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:12:06.724Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:12:07.984Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:12:09.243Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:12:09.243Z] 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. [2026-04-14T12:12:09.243Z] The best model improves the baseline by 14.34%. [2026-04-14T12:12:09.853Z] Top recommended movies for user id 72: [2026-04-14T12:12:09.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:12:09.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:12:09.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:12:09.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:12:09.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:12:09.853Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11797.882 ms) ====== [2026-04-14T12:12:09.853Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T12:12:09.853Z] GC before operation: completed in 104.021 ms, heap usage 146.617 MB -> 92.039 MB. [2026-04-14T12:12:11.826Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:12:13.799Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:12:15.433Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:12:17.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:12:18.683Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:12:19.288Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:12:20.554Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:12:21.161Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:12:21.768Z] 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. [2026-04-14T12:12:21.768Z] The best model improves the baseline by 14.34%. [2026-04-14T12:12:21.768Z] Top recommended movies for user id 72: [2026-04-14T12:12:21.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:12:21.768Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:12:21.768Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:12:21.768Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:12:21.768Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:12:21.768Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11988.382 ms) ====== [2026-04-14T12:12:21.768Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T12:12:21.768Z] GC before operation: completed in 88.380 ms, heap usage 183.144 MB -> 91.065 MB. [2026-04-14T12:12:23.748Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:12:25.015Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:12:26.992Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:12:28.264Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:12:29.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:12:30.134Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:12:31.397Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:12:32.657Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:12:32.657Z] 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. [2026-04-14T12:12:32.657Z] The best model improves the baseline by 14.34%. [2026-04-14T12:12:32.657Z] Top recommended movies for user id 72: [2026-04-14T12:12:32.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:12:32.657Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:12:32.657Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:12:32.657Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:12:32.657Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:12:32.657Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11110.973 ms) ====== [2026-04-14T12:12:32.657Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T12:12:33.263Z] GC before operation: completed in 107.636 ms, heap usage 168.996 MB -> 88.702 MB. [2026-04-14T12:12:34.531Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:12:36.505Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:12:38.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:12:39.884Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:12:41.144Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:12:41.752Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:12:43.014Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:12:43.618Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:12:44.228Z] 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. [2026-04-14T12:12:44.228Z] The best model improves the baseline by 14.34%. [2026-04-14T12:12:44.228Z] Top recommended movies for user id 72: [2026-04-14T12:12:44.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:12:44.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:12:44.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:12:44.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:12:44.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:12:44.228Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11199.375 ms) ====== [2026-04-14T12:12:44.228Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T12:12:44.228Z] GC before operation: completed in 100.432 ms, heap usage 189.350 MB -> 93.915 MB. [2026-04-14T12:12:45.769Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:12:47.747Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:12:49.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:12:51.698Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:12:52.958Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:12:54.221Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:12:55.484Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:12:56.742Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:12:56.742Z] 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. [2026-04-14T12:12:56.742Z] The best model improves the baseline by 14.34%. [2026-04-14T12:12:56.742Z] Top recommended movies for user id 72: [2026-04-14T12:12:56.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:12:56.742Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:12:56.742Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:12:56.742Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:12:56.742Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:12:56.742Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12457.716 ms) ====== [2026-04-14T12:12:56.742Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T12:12:56.742Z] GC before operation: completed in 103.605 ms, heap usage 195.902 MB -> 89.110 MB. [2026-04-14T12:12:57.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:12:59.974Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:13:01.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:13:03.205Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:13:04.466Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:13:05.071Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:13:06.332Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:13:07.590Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:13:07.590Z] 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. [2026-04-14T12:13:07.590Z] The best model improves the baseline by 14.34%. [2026-04-14T12:13:08.196Z] Top recommended movies for user id 72: [2026-04-14T12:13:08.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:13:08.196Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:13:08.196Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:13:08.196Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:13:08.196Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:13:08.196Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11093.503 ms) ====== [2026-04-14T12:13:08.196Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T12:13:08.196Z] GC before operation: completed in 154.830 ms, heap usage 179.567 MB -> 89.293 MB. [2026-04-14T12:13:10.178Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:13:12.187Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:13:14.165Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:13:15.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:13:16.974Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:13:17.583Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:13:18.843Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:13:20.100Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:13:20.705Z] 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. [2026-04-14T12:13:20.706Z] The best model improves the baseline by 14.34%. [2026-04-14T12:13:20.706Z] Top recommended movies for user id 72: [2026-04-14T12:13:20.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:13:20.706Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:13:20.706Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:13:20.706Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:13:20.706Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:13:20.706Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12419.250 ms) ====== [2026-04-14T12:13:20.706Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T12:13:20.706Z] GC before operation: completed in 105.662 ms, heap usage 113.903 MB -> 89.300 MB. [2026-04-14T12:13:22.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:13:23.951Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:13:25.924Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:13:27.186Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:13:28.448Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:13:29.710Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:13:30.979Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:13:31.583Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:13:32.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T12:13:32.188Z] The best model improves the baseline by 14.34%. [2026-04-14T12:13:32.188Z] Top recommended movies for user id 72: [2026-04-14T12:13:32.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:13:32.188Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:13:32.188Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:13:32.188Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:13:32.188Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:13:32.188Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11323.562 ms) ====== [2026-04-14T12:13:32.188Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T12:13:32.188Z] GC before operation: completed in 100.107 ms, heap usage 177.888 MB -> 89.506 MB. [2026-04-14T12:13:34.162Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:13:36.135Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:13:37.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:13:38.661Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:13:39.922Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:13:41.187Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:13:42.448Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:13:43.731Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:13:43.732Z] 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. [2026-04-14T12:13:43.732Z] The best model improves the baseline by 14.34%. [2026-04-14T12:13:43.732Z] Top recommended movies for user id 72: [2026-04-14T12:13:43.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:13:43.732Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:13:43.732Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:13:43.732Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:13:43.732Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:13:43.732Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11651.187 ms) ====== [2026-04-14T12:13:43.732Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T12:13:43.732Z] GC before operation: completed in 101.676 ms, heap usage 209.706 MB -> 96.097 MB. [2026-04-14T12:13:45.716Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:13:47.351Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:13:50.116Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:13:51.379Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:13:52.641Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:13:53.249Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:13:54.517Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:13:55.779Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:13:56.386Z] 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. [2026-04-14T12:13:56.386Z] The best model improves the baseline by 14.34%. [2026-04-14T12:13:56.386Z] Top recommended movies for user id 72: [2026-04-14T12:13:56.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:13:56.386Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:13:56.387Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:13:56.387Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:13:56.387Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:13:56.387Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12491.307 ms) ====== [2026-04-14T12:13:56.387Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T12:13:56.387Z] GC before operation: completed in 106.214 ms, heap usage 372.977 MB -> 89.669 MB. [2026-04-14T12:13:57.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:13:59.630Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:14:01.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:14:02.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:14:04.135Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:14:05.396Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:14:06.663Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:14:07.269Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:14:07.876Z] 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. [2026-04-14T12:14:07.876Z] The best model improves the baseline by 14.34%. [2026-04-14T12:14:07.876Z] Top recommended movies for user id 72: [2026-04-14T12:14:07.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:14:07.876Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:14:07.876Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:14:07.876Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:14:07.876Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:14:07.876Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11252.215 ms) ====== [2026-04-14T12:14:07.876Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T12:14:07.876Z] GC before operation: completed in 125.667 ms, heap usage 210.438 MB -> 97.832 MB. [2026-04-14T12:14:09.855Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:14:11.126Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:14:13.101Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:14:15.084Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:14:15.691Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:14:16.959Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:14:18.222Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:14:19.862Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:14:19.862Z] 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. [2026-04-14T12:14:19.862Z] The best model improves the baseline by 14.34%. [2026-04-14T12:14:19.862Z] Top recommended movies for user id 72: [2026-04-14T12:14:19.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:14:19.862Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:14:19.862Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:14:19.862Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:14:19.862Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:14:19.862Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11786.605 ms) ====== [2026-04-14T12:14:19.862Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T12:14:19.862Z] GC before operation: completed in 158.123 ms, heap usage 174.936 MB -> 91.439 MB. [2026-04-14T12:14:21.841Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:14:23.106Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:14:25.086Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:14:27.067Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:14:27.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:14:28.937Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:14:29.549Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:14:30.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:14:30.815Z] 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. [2026-04-14T12:14:30.815Z] The best model improves the baseline by 14.34%. [2026-04-14T12:14:30.816Z] Top recommended movies for user id 72: [2026-04-14T12:14:30.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:14:30.816Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:14:30.816Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:14:30.816Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:14:30.816Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:14:30.816Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11271.863 ms) ====== [2026-04-14T12:14:30.816Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T12:14:31.422Z] GC before operation: completed in 113.099 ms, heap usage 237.152 MB -> 89.609 MB. [2026-04-14T12:14:32.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:14:34.668Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:14:36.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:14:38.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:14:39.896Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:14:40.504Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:14:41.765Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:14:43.030Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:14:43.030Z] 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. [2026-04-14T12:14:43.030Z] The best model improves the baseline by 14.34%. [2026-04-14T12:14:43.030Z] Top recommended movies for user id 72: [2026-04-14T12:14:43.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:14:43.030Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:14:43.030Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:14:43.030Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:14:43.030Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:14:43.030Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12160.463 ms) ====== [2026-04-14T12:14:43.030Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T12:14:43.636Z] GC before operation: completed in 122.404 ms, heap usage 238.812 MB -> 93.148 MB. [2026-04-14T12:14:45.615Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:14:46.876Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:14:48.856Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:14:51.200Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:14:51.806Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:14:53.068Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:14:54.330Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:14:55.594Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:14:56.203Z] 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. [2026-04-14T12:14:56.203Z] The best model improves the baseline by 14.34%. [2026-04-14T12:14:56.203Z] Top recommended movies for user id 72: [2026-04-14T12:14:56.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:14:56.203Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:14:56.203Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:14:56.203Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:14:56.203Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:14:56.203Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12683.778 ms) ====== [2026-04-14T12:14:56.203Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T12:14:56.204Z] GC before operation: completed in 113.629 ms, heap usage 189.472 MB -> 92.647 MB. [2026-04-14T12:14:58.182Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:15:00.163Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:15:02.143Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:15:03.407Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:15:04.669Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:15:05.280Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:15:06.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:15:07.149Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:15:07.756Z] 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. [2026-04-14T12:15:07.756Z] The best model improves the baseline by 14.34%. [2026-04-14T12:15:07.756Z] Top recommended movies for user id 72: [2026-04-14T12:15:07.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:15:07.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:15:07.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:15:07.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:15:07.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:15:07.756Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11385.049 ms) ====== [2026-04-14T12:15:07.756Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T12:15:07.756Z] GC before operation: completed in 88.363 ms, heap usage 157.894 MB -> 91.055 MB. [2026-04-14T12:15:09.015Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:15:10.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:15:12.971Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:15:14.956Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:15:15.563Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:15:16.825Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:15:18.091Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:15:18.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:15:18.696Z] 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. [2026-04-14T12:15:18.696Z] The best model improves the baseline by 14.34%. [2026-04-14T12:15:19.302Z] Top recommended movies for user id 72: [2026-04-14T12:15:19.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:15:19.303Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:15:19.303Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:15:19.303Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:15:19.303Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:15:19.303Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11323.082 ms) ====== [2026-04-14T12:15:19.303Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T12:15:19.303Z] GC before operation: completed in 88.510 ms, heap usage 120.637 MB -> 97.037 MB. [2026-04-14T12:15:20.564Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:15:22.608Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:15:24.592Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:15:25.856Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:15:27.118Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:15:27.726Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:15:28.989Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:15:29.597Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:15:30.206Z] 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. [2026-04-14T12:15:30.206Z] The best model improves the baseline by 14.34%. [2026-04-14T12:15:30.206Z] Top recommended movies for user id 72: [2026-04-14T12:15:30.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T12:15:30.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T12:15:30.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T12:15:30.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T12:15:30.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T12:15:30.206Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11098.998 ms) ====== [2026-04-14T12:15:30.812Z] ----------------------------------- [2026-04-14T12:15:30.812Z] renaissance-movie-lens_0_PASSED [2026-04-14T12:15:30.812Z] ----------------------------------- [2026-04-14T12:15:30.812Z] [2026-04-14T12:15:30.812Z] TEST TEARDOWN: [2026-04-14T12:15:30.812Z] Nothing to be done for teardown. [2026-04-14T12:15:30.812Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 12:15:30 2026 Epoch Time (ms): 1776168930193