[2026-01-14T22:37:22.140Z] Running test renaissance-movie-lens_0 ... [2026-01-14T22:37:22.140Z] =============================================== [2026-01-14T22:37:22.140Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 22:37:22 2026 Epoch Time (ms): 1768430242086 [2026-01-14T22:37:22.140Z] variation: NoOptions [2026-01-14T22:37:22.140Z] JVM_OPTIONS: [2026-01-14T22:37:22.140Z] { \ [2026-01-14T22:37:22.140Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T22:37:22.140Z] echo "Nothing to be done for setup."; \ [2026-01-14T22:37:22.140Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17684290104691/renaissance-movie-lens_0"; \ [2026-01-14T22:37:22.140Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17684290104691/renaissance-movie-lens_0"; \ [2026-01-14T22:37:22.140Z] echo ""; echo "TESTING:"; \ [2026-01-14T22:37:22.140Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/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_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17684290104691/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T22:37:22.140Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17684290104691/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T22:37:22.140Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T22:37:22.140Z] echo "Nothing to be done for teardown."; \ [2026-01-14T22:37:22.141Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17684290104691/TestTargetResult"; [2026-01-14T22:37:22.141Z] [2026-01-14T22:37:22.141Z] TEST SETUP: [2026-01-14T22:37:22.141Z] Nothing to be done for setup. [2026-01-14T22:37:22.141Z] [2026-01-14T22:37:22.141Z] TESTING: [2026-01-14T22:37:28.153Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-14T22:37:37.192Z] 22:37:36.641 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. [2026-01-14T22:37:41.071Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T22:37:41.806Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T22:37:41.806Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T22:37:41.806Z] GC before operation: completed in 170.006 ms, heap usage 111.228 MB -> 74.165 MB. [2026-01-14T22:37:52.883Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:38:01.933Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:38:06.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:38:11.673Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:38:14.709Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:38:17.740Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:38:20.782Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:38:23.098Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:38:23.829Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:38:23.829Z] The best model improves the baseline by 14.34%. [2026-01-14T22:38:24.173Z] Top recommended movies for user id 72: [2026-01-14T22:38:24.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:38:24.173Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:38:24.173Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:38:24.173Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:38:24.173Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:38:24.173Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42219.366 ms) ====== [2026-01-14T22:38:24.173Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T22:38:24.173Z] GC before operation: completed in 203.790 ms, heap usage 219.163 MB -> 86.900 MB. [2026-01-14T22:38:29.030Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:38:33.886Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:38:37.753Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:38:40.838Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:38:43.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:38:46.272Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:38:48.588Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:38:50.303Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:38:50.648Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:38:50.648Z] The best model improves the baseline by 14.34%. [2026-01-14T22:38:50.991Z] Top recommended movies for user id 72: [2026-01-14T22:38:50.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:38:50.991Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:38:50.991Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:38:50.991Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:38:50.991Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:38:50.991Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26673.516 ms) ====== [2026-01-14T22:38:50.991Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T22:38:50.991Z] GC before operation: completed in 196.671 ms, heap usage 334.199 MB -> 86.601 MB. [2026-01-14T22:38:54.874Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:38:59.749Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:39:03.606Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:39:07.465Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:39:09.778Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:39:11.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:39:14.609Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:39:16.314Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:39:16.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:39:16.658Z] The best model improves the baseline by 14.34%. [2026-01-14T22:39:16.994Z] Top recommended movies for user id 72: [2026-01-14T22:39:16.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:39:16.994Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:39:16.994Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:39:16.994Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:39:16.994Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:39:16.994Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25895.673 ms) ====== [2026-01-14T22:39:16.994Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T22:39:17.334Z] GC before operation: completed in 211.456 ms, heap usage 112.810 MB -> 86.864 MB. [2026-01-14T22:39:21.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:39:25.062Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:39:29.913Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:39:32.935Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:39:35.245Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:39:38.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:39:40.662Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:39:42.977Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:39:42.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:39:43.317Z] The best model improves the baseline by 14.34%. [2026-01-14T22:39:43.317Z] Top recommended movies for user id 72: [2026-01-14T22:39:43.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:39:43.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:39:43.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:39:43.317Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:39:43.317Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:39:43.317Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26186.401 ms) ====== [2026-01-14T22:39:43.317Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T22:39:43.656Z] GC before operation: completed in 204.623 ms, heap usage 306.480 MB -> 87.388 MB. [2026-01-14T22:39:47.522Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:39:51.382Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:39:54.406Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:39:57.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:39:59.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:40:02.156Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:40:05.176Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:40:06.891Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:40:07.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:40:07.624Z] The best model improves the baseline by 14.34%. [2026-01-14T22:40:07.624Z] Top recommended movies for user id 72: [2026-01-14T22:40:07.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:40:07.624Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:40:07.624Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:40:07.624Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:40:07.624Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:40:07.624Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24138.240 ms) ====== [2026-01-14T22:40:07.624Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T22:40:07.968Z] GC before operation: completed in 209.805 ms, heap usage 145.656 MB -> 87.195 MB. [2026-01-14T22:40:11.845Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:40:15.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:40:19.584Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:40:23.445Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:40:25.768Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:40:28.188Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:40:30.509Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:40:32.825Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:40:32.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:40:32.825Z] The best model improves the baseline by 14.34%. [2026-01-14T22:40:33.566Z] Top recommended movies for user id 72: [2026-01-14T22:40:33.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:40:33.566Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:40:33.566Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:40:33.566Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:40:33.566Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:40:33.566Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25419.992 ms) ====== [2026-01-14T22:40:33.566Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T22:40:33.566Z] GC before operation: completed in 196.107 ms, heap usage 168.235 MB -> 87.512 MB. [2026-01-14T22:40:37.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:40:41.309Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:40:45.180Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:40:49.041Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:40:51.366Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:40:53.154Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:40:56.191Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:40:57.900Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:40:58.240Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:40:58.240Z] The best model improves the baseline by 14.34%. [2026-01-14T22:40:58.580Z] Top recommended movies for user id 72: [2026-01-14T22:40:58.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:40:58.580Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:40:58.580Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:40:58.580Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:40:58.580Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:40:58.580Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24973.915 ms) ====== [2026-01-14T22:40:58.580Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T22:40:58.580Z] GC before operation: completed in 195.701 ms, heap usage 110.570 MB -> 87.382 MB. [2026-01-14T22:41:02.452Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:41:06.313Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:41:09.343Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:41:13.223Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:41:14.940Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:41:17.258Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:41:19.665Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:41:21.369Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:41:21.710Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:41:21.710Z] The best model improves the baseline by 14.34%. [2026-01-14T22:41:22.055Z] Top recommended movies for user id 72: [2026-01-14T22:41:22.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:41:22.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:41:22.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:41:22.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:41:22.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:41:22.055Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23239.262 ms) ====== [2026-01-14T22:41:22.055Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T22:41:22.055Z] GC before operation: completed in 211.613 ms, heap usage 274.805 MB -> 87.823 MB. [2026-01-14T22:41:25.933Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:41:29.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:41:34.680Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:41:38.549Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:41:40.898Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:41:43.222Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:41:45.540Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:41:47.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:41:48.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:41:48.195Z] The best model improves the baseline by 14.34%. [2026-01-14T22:41:48.536Z] Top recommended movies for user id 72: [2026-01-14T22:41:48.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:41:48.536Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:41:48.536Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:41:48.536Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:41:48.536Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:41:48.536Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26210.718 ms) ====== [2026-01-14T22:41:48.536Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T22:41:48.536Z] GC before operation: completed in 198.726 ms, heap usage 301.776 MB -> 87.730 MB. [2026-01-14T22:41:52.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:41:56.296Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:42:00.162Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:42:03.187Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:42:05.517Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:42:07.835Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:42:10.240Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:42:12.564Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:42:12.903Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:42:12.904Z] The best model improves the baseline by 14.34%. [2026-01-14T22:42:13.246Z] Top recommended movies for user id 72: [2026-01-14T22:42:13.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:42:13.246Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:42:13.246Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:42:13.246Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:42:13.246Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:42:13.246Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24587.782 ms) ====== [2026-01-14T22:42:13.246Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T22:42:13.246Z] GC before operation: completed in 192.882 ms, heap usage 161.567 MB -> 87.731 MB. [2026-01-14T22:42:17.124Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:42:21.044Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:42:24.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:42:28.777Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:42:30.484Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:42:32.812Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:42:35.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:42:37.545Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:42:37.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:42:37.545Z] The best model improves the baseline by 14.34%. [2026-01-14T22:42:37.887Z] Top recommended movies for user id 72: [2026-01-14T22:42:37.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:42:37.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:42:37.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:42:37.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:42:37.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:42:37.887Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24383.443 ms) ====== [2026-01-14T22:42:37.887Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T22:42:37.887Z] GC before operation: completed in 192.930 ms, heap usage 175.760 MB -> 87.512 MB. [2026-01-14T22:42:41.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:42:44.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:42:47.823Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:42:51.693Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:42:53.401Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:42:55.716Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:42:58.034Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:42:59.834Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:43:00.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:43:00.563Z] The best model improves the baseline by 14.34%. [2026-01-14T22:43:00.563Z] Top recommended movies for user id 72: [2026-01-14T22:43:00.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:43:00.563Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:43:00.563Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:43:00.563Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:43:00.563Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:43:00.563Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22745.381 ms) ====== [2026-01-14T22:43:00.563Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T22:43:00.909Z] GC before operation: completed in 206.834 ms, heap usage 167.894 MB -> 87.684 MB. [2026-01-14T22:43:04.783Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:43:08.632Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:43:11.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:43:14.659Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:43:16.981Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:43:20.007Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:43:22.331Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:43:24.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:43:24.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:43:24.480Z] The best model improves the baseline by 14.34%. [2026-01-14T22:43:24.823Z] Top recommended movies for user id 72: [2026-01-14T22:43:24.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:43:24.823Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:43:24.823Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:43:24.823Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:43:24.823Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:43:24.823Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23883.153 ms) ====== [2026-01-14T22:43:24.823Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T22:43:24.823Z] GC before operation: completed in 194.799 ms, heap usage 184.948 MB -> 87.809 MB. [2026-01-14T22:43:28.695Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:43:32.574Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:43:36.441Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:43:39.471Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:43:41.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:43:43.569Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:43:45.888Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:43:48.299Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:43:48.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:43:48.639Z] The best model improves the baseline by 14.34%. [2026-01-14T22:43:48.639Z] Top recommended movies for user id 72: [2026-01-14T22:43:48.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:43:48.639Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:43:48.639Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:43:48.639Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:43:48.639Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:43:48.639Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23657.141 ms) ====== [2026-01-14T22:43:48.639Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T22:43:48.979Z] GC before operation: completed in 198.299 ms, heap usage 329.701 MB -> 87.914 MB. [2026-01-14T22:43:52.014Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:43:55.041Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:43:58.910Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:44:01.935Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:44:03.634Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:44:05.939Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:44:07.640Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:44:09.950Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:44:10.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:44:10.290Z] The best model improves the baseline by 14.34%. [2026-01-14T22:44:10.290Z] Top recommended movies for user id 72: [2026-01-14T22:44:10.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:44:10.290Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:44:10.290Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:44:10.290Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:44:10.290Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:44:10.290Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21594.631 ms) ====== [2026-01-14T22:44:10.290Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T22:44:10.635Z] GC before operation: completed in 209.145 ms, heap usage 263.754 MB -> 87.986 MB. [2026-01-14T22:44:14.615Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:44:18.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:44:22.357Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:44:25.387Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:44:27.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:44:30.030Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:44:32.354Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:44:34.675Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:44:35.018Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:44:35.018Z] The best model improves the baseline by 14.34%. [2026-01-14T22:44:35.363Z] Top recommended movies for user id 72: [2026-01-14T22:44:35.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:44:35.363Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:44:35.363Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:44:35.363Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:44:35.363Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:44:35.363Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24665.170 ms) ====== [2026-01-14T22:44:35.363Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T22:44:35.363Z] GC before operation: completed in 198.941 ms, heap usage 171.883 MB -> 87.687 MB. [2026-01-14T22:44:39.317Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:44:43.176Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:44:46.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:44:50.085Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:44:51.795Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:44:54.108Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:44:56.434Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:44:58.149Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:44:58.491Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:44:58.491Z] The best model improves the baseline by 14.34%. [2026-01-14T22:44:58.832Z] Top recommended movies for user id 72: [2026-01-14T22:44:58.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:44:58.832Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:44:58.832Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:44:58.832Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:44:58.832Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:44:58.832Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23260.398 ms) ====== [2026-01-14T22:44:58.832Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T22:44:58.832Z] GC before operation: completed in 198.201 ms, heap usage 296.923 MB -> 87.955 MB. [2026-01-14T22:45:02.702Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:45:06.634Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:45:10.516Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:45:13.550Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:45:15.264Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:45:17.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:45:19.897Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:45:22.228Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:45:22.228Z] 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. [2026-01-14T22:45:22.568Z] The best model improves the baseline by 14.34%. [2026-01-14T22:45:22.568Z] Top recommended movies for user id 72: [2026-01-14T22:45:22.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:45:22.568Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:45:22.568Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:45:22.568Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:45:22.568Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:45:22.568Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23598.220 ms) ====== [2026-01-14T22:45:22.568Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T22:45:22.914Z] GC before operation: completed in 198.126 ms, heap usage 332.973 MB -> 87.866 MB. [2026-01-14T22:45:26.779Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:45:29.831Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:45:33.682Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:45:36.704Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:45:38.404Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:45:40.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:45:42.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:45:44.724Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:45:45.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:45:45.066Z] The best model improves the baseline by 14.34%. [2026-01-14T22:45:45.066Z] Top recommended movies for user id 72: [2026-01-14T22:45:45.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:45:45.066Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:45:45.066Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:45:45.066Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:45:45.066Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:45:45.066Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22373.471 ms) ====== [2026-01-14T22:45:45.066Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T22:45:45.407Z] GC before operation: completed in 209.339 ms, heap usage 371.637 MB -> 88.092 MB. [2026-01-14T22:45:49.276Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:45:53.161Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:45:56.242Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:46:00.089Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:46:01.793Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:46:03.497Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:46:06.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:46:08.217Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:46:08.559Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:46:08.559Z] The best model improves the baseline by 14.34%. [2026-01-14T22:46:08.559Z] Top recommended movies for user id 72: [2026-01-14T22:46:08.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:46:08.559Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:46:08.559Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:46:08.559Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:46:08.559Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:46:08.560Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23334.126 ms) ====== [2026-01-14T22:46:09.296Z] ----------------------------------- [2026-01-14T22:46:09.296Z] renaissance-movie-lens_0_PASSED [2026-01-14T22:46:09.296Z] ----------------------------------- [2026-01-14T22:46:09.296Z] [2026-01-14T22:46:09.296Z] TEST TEARDOWN: [2026-01-14T22:46:09.296Z] Nothing to be done for teardown. [2026-01-14T22:46:09.296Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 22:46:08 2026 Epoch Time (ms): 1768430768925