[2026-02-18T23:38:07.352Z] Running test renaissance-movie-lens_0 ... [2026-02-18T23:38:07.352Z] =============================================== [2026-02-18T23:38:07.352Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 23:38:07 2026 Epoch Time (ms): 1771457887298 [2026-02-18T23:38:07.685Z] variation: NoOptions [2026-02-18T23:38:07.685Z] JVM_OPTIONS: [2026-02-18T23:38:07.685Z] { \ [2026-02-18T23:38:07.685Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T23:38:07.685Z] echo "Nothing to be done for setup."; \ [2026-02-18T23:38:07.685Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17714559327200\\renaissance-movie-lens_0"; \ [2026-02-18T23:38:07.685Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17714559327200\\renaissance-movie-lens_0"; \ [2026-02-18T23:38:07.685Z] echo ""; echo "TESTING:"; \ [2026-02-18T23:38:07.685Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17714559327200\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-18T23:38:07.685Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17714559327200\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T23:38:07.685Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T23:38:07.685Z] echo "Nothing to be done for teardown."; \ [2026-02-18T23:38:07.685Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17714559327200\\TestTargetResult"; [2026-02-18T23:38:07.685Z] [2026-02-18T23:38:07.685Z] TEST SETUP: [2026-02-18T23:38:07.685Z] Nothing to be done for setup. [2026-02-18T23:38:07.685Z] [2026-02-18T23:38:07.685Z] TESTING: [2026-02-18T23:38:26.615Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-18T23:38:36.148Z] 23:38:34.516 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T23:38:40.352Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T23:38:40.886Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T23:38:40.886Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T23:38:40.886Z] GC before operation: completed in 214.618 ms, heap usage 180.375 MB -> 76.235 MB. [2026-02-18T23:38:55.909Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:39:05.247Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:39:15.126Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:39:24.245Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:39:28.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:39:33.660Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:39:38.576Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:39:43.429Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:39:43.819Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:39:43.819Z] The best model improves the baseline by 14.34%. [2026-02-18T23:39:44.275Z] Top recommended movies for user id 72: [2026-02-18T23:39:44.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:39:44.275Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:39:44.275Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:39:44.275Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:39:44.275Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:39:44.275Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63529.364 ms) ====== [2026-02-18T23:39:44.275Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T23:39:44.628Z] GC before operation: completed in 211.923 ms, heap usage 209.662 MB -> 88.137 MB. [2026-02-18T23:39:51.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:39:59.100Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:40:06.315Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:40:12.178Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:40:16.917Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:40:20.689Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:40:25.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:40:29.111Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:40:29.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:40:29.807Z] The best model improves the baseline by 14.34%. [2026-02-18T23:40:30.387Z] Top recommended movies for user id 72: [2026-02-18T23:40:30.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:40:30.387Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:40:30.387Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:40:30.387Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:40:30.387Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:40:30.387Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (45570.745 ms) ====== [2026-02-18T23:40:30.387Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T23:40:30.387Z] GC before operation: completed in 268.135 ms, heap usage 368.874 MB -> 88.536 MB. [2026-02-18T23:40:37.895Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:40:45.211Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:40:52.388Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:40:58.187Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:41:01.993Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:41:06.668Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:41:10.387Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:41:15.012Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:41:15.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:41:15.012Z] The best model improves the baseline by 14.34%. [2026-02-18T23:41:15.429Z] Top recommended movies for user id 72: [2026-02-18T23:41:15.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:41:15.429Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:41:15.429Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:41:15.429Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:41:15.429Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:41:15.429Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45063.975 ms) ====== [2026-02-18T23:41:15.429Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T23:41:16.168Z] GC before operation: completed in 227.868 ms, heap usage 315.937 MB -> 89.074 MB. [2026-02-18T23:41:24.978Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:41:30.942Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:41:38.236Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:41:45.382Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:41:48.322Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:41:52.089Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:41:56.804Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:42:00.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:42:00.809Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:42:00.809Z] The best model improves the baseline by 14.34%. [2026-02-18T23:42:01.368Z] Top recommended movies for user id 72: [2026-02-18T23:42:01.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:42:01.368Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:42:01.368Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:42:01.368Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:42:01.368Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:42:01.368Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45397.600 ms) ====== [2026-02-18T23:42:01.368Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T23:42:01.368Z] GC before operation: completed in 253.122 ms, heap usage 171.475 MB -> 89.138 MB. [2026-02-18T23:42:08.531Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:42:15.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:42:21.588Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:42:28.745Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:42:33.433Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:42:37.168Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:42:40.916Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:42:44.741Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:42:45.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:42:45.069Z] The best model improves the baseline by 14.34%. [2026-02-18T23:42:45.790Z] Top recommended movies for user id 72: [2026-02-18T23:42:45.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:42:45.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:42:45.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:42:45.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:42:45.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:42:45.790Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (44094.373 ms) ====== [2026-02-18T23:42:45.790Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T23:42:46.133Z] GC before operation: completed in 214.967 ms, heap usage 400.276 MB -> 89.475 MB. [2026-02-18T23:42:53.429Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:42:59.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:43:06.546Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:43:12.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:43:16.255Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:43:19.978Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:43:24.633Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:43:28.342Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:43:29.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:43:29.069Z] The best model improves the baseline by 14.34%. [2026-02-18T23:43:29.563Z] Top recommended movies for user id 72: [2026-02-18T23:43:29.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:43:29.563Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:43:29.563Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:43:29.563Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:43:29.563Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:43:29.563Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (43647.070 ms) ====== [2026-02-18T23:43:29.563Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T23:43:29.563Z] GC before operation: completed in 254.270 ms, heap usage 239.116 MB -> 89.555 MB. [2026-02-18T23:43:36.797Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:43:44.051Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:43:50.449Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:43:57.786Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:44:01.350Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:44:05.879Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:44:09.647Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:44:13.679Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:44:13.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:44:14.155Z] The best model improves the baseline by 14.34%. [2026-02-18T23:44:14.155Z] Top recommended movies for user id 72: [2026-02-18T23:44:14.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:44:14.155Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:44:14.155Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:44:14.155Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:44:14.155Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:44:14.155Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (44668.433 ms) ====== [2026-02-18T23:44:14.155Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T23:44:14.596Z] GC before operation: completed in 211.707 ms, heap usage 233.644 MB -> 89.562 MB. [2026-02-18T23:44:21.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:44:29.626Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:44:38.692Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:44:45.852Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:44:49.729Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:44:53.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:44:58.629Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:45:03.294Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:45:03.294Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:45:03.294Z] The best model improves the baseline by 14.34%. [2026-02-18T23:45:03.903Z] Top recommended movies for user id 72: [2026-02-18T23:45:03.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:45:03.903Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:45:03.903Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:45:03.903Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:45:03.903Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:45:03.903Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49225.998 ms) ====== [2026-02-18T23:45:03.903Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T23:45:03.903Z] GC before operation: completed in 245.367 ms, heap usage 293.962 MB -> 89.784 MB. [2026-02-18T23:45:11.159Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:45:18.468Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:45:27.453Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:45:33.269Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:45:38.240Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:45:42.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:45:46.857Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:45:51.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:45:51.696Z] 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. [2026-02-18T23:45:51.696Z] The best model improves the baseline by 14.34%. [2026-02-18T23:45:52.221Z] Top recommended movies for user id 72: [2026-02-18T23:45:52.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:45:52.221Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:45:52.221Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:45:52.221Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:45:52.221Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:45:52.222Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (48090.955 ms) ====== [2026-02-18T23:45:52.222Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T23:45:52.222Z] GC before operation: completed in 205.873 ms, heap usage 291.560 MB -> 89.730 MB. [2026-02-18T23:45:59.609Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:46:07.267Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:46:14.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:46:21.774Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:46:26.717Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:46:30.746Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:46:34.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:46:39.619Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:46:39.619Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:46:39.619Z] The best model improves the baseline by 14.34%. [2026-02-18T23:46:40.269Z] Top recommended movies for user id 72: [2026-02-18T23:46:40.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:46:40.269Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:46:40.269Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:46:40.269Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:46:40.269Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:46:40.269Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47804.412 ms) ====== [2026-02-18T23:46:40.269Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T23:46:40.587Z] GC before operation: completed in 202.355 ms, heap usage 293.230 MB -> 89.914 MB. [2026-02-18T23:46:47.996Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:46:55.469Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:47:01.511Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:47:07.300Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:47:11.969Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:47:15.791Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:47:19.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:47:24.371Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:47:24.371Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:47:24.371Z] The best model improves the baseline by 14.34%. [2026-02-18T23:47:24.743Z] Top recommended movies for user id 72: [2026-02-18T23:47:24.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:47:24.743Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:47:24.743Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:47:24.743Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:47:24.743Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:47:24.743Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44602.236 ms) ====== [2026-02-18T23:47:24.743Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T23:47:25.278Z] GC before operation: completed in 176.531 ms, heap usage 187.070 MB -> 89.494 MB. [2026-02-18T23:47:32.430Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:47:38.358Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:47:45.536Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:47:51.391Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:47:55.137Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:47:58.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:48:02.633Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:48:06.360Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:48:06.831Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:48:06.831Z] The best model improves the baseline by 14.34%. [2026-02-18T23:48:06.831Z] Top recommended movies for user id 72: [2026-02-18T23:48:06.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:48:06.831Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:48:06.831Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:48:06.831Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:48:06.831Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:48:07.368Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (41906.932 ms) ====== [2026-02-18T23:48:07.368Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T23:48:07.368Z] GC before operation: completed in 181.045 ms, heap usage 457.925 MB -> 93.353 MB. [2026-02-18T23:48:14.571Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:48:21.719Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:48:27.572Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:48:33.386Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:48:38.015Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:48:41.833Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:48:45.584Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:48:49.271Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:48:49.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:48:50.024Z] The best model improves the baseline by 14.34%. [2026-02-18T23:48:50.024Z] Top recommended movies for user id 72: [2026-02-18T23:48:50.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:48:50.024Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:48:50.024Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:48:50.024Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:48:50.024Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:48:50.024Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42983.944 ms) ====== [2026-02-18T23:48:50.024Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T23:48:50.580Z] GC before operation: completed in 183.201 ms, heap usage 368.631 MB -> 90.169 MB. [2026-02-18T23:48:58.076Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:49:04.079Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:49:11.291Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:49:18.466Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:49:21.390Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:49:26.075Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:49:29.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:49:33.639Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:49:34.114Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:49:34.114Z] The best model improves the baseline by 14.34%. [2026-02-18T23:49:34.114Z] Top recommended movies for user id 72: [2026-02-18T23:49:34.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:49:34.114Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:49:34.114Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:49:34.114Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:49:34.114Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:49:34.115Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (43919.533 ms) ====== [2026-02-18T23:49:34.115Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T23:49:34.705Z] GC before operation: completed in 176.455 ms, heap usage 167.597 MB -> 89.653 MB. [2026-02-18T23:49:41.951Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:49:47.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:49:55.108Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:50:00.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:50:04.761Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:50:08.498Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:50:12.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:50:16.211Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:50:16.211Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:50:16.890Z] The best model improves the baseline by 14.34%. [2026-02-18T23:50:16.890Z] Top recommended movies for user id 72: [2026-02-18T23:50:16.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:50:16.890Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:50:16.890Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:50:16.890Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:50:16.890Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:50:16.890Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (42293.712 ms) ====== [2026-02-18T23:50:16.890Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T23:50:17.227Z] GC before operation: completed in 172.294 ms, heap usage 114.787 MB -> 91.911 MB. [2026-02-18T23:50:24.390Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:50:30.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:50:37.565Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:50:43.481Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:50:47.157Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:50:50.974Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:50:54.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:50:58.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:50:59.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:50:59.659Z] The best model improves the baseline by 14.34%. [2026-02-18T23:50:59.659Z] Top recommended movies for user id 72: [2026-02-18T23:50:59.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:50:59.659Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:50:59.659Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:50:59.659Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:50:59.659Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:50:59.659Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (42623.562 ms) ====== [2026-02-18T23:50:59.659Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T23:51:00.022Z] GC before operation: completed in 181.008 ms, heap usage 575.765 MB -> 93.637 MB. [2026-02-18T23:51:07.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:51:13.020Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:51:20.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:51:27.438Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:51:30.394Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:51:34.701Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:51:38.917Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:51:43.587Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:51:43.913Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:51:43.913Z] The best model improves the baseline by 14.34%. [2026-02-18T23:51:44.435Z] Top recommended movies for user id 72: [2026-02-18T23:51:44.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:51:44.435Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:51:44.435Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:51:44.435Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:51:44.435Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:51:44.435Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (44648.936 ms) ====== [2026-02-18T23:51:44.435Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T23:51:44.435Z] GC before operation: completed in 168.560 ms, heap usage 288.524 MB -> 89.981 MB. [2026-02-18T23:51:51.659Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:51:59.091Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:52:06.316Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:52:13.746Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:52:17.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:52:21.595Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:52:26.679Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:52:31.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:52:31.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:52:31.495Z] The best model improves the baseline by 14.34%. [2026-02-18T23:52:31.495Z] Top recommended movies for user id 72: [2026-02-18T23:52:31.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:52:31.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:52:31.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:52:31.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:52:31.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:52:31.495Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (47123.267 ms) ====== [2026-02-18T23:52:31.495Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T23:52:32.039Z] GC before operation: completed in 175.094 ms, heap usage 293.530 MB -> 89.776 MB. [2026-02-18T23:52:39.328Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:52:47.113Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:52:54.434Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:53:00.350Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:53:05.050Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:53:09.088Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:53:13.886Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:53:18.786Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:53:18.787Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:53:18.787Z] The best model improves the baseline by 14.34%. [2026-02-18T23:53:19.317Z] Top recommended movies for user id 72: [2026-02-18T23:53:19.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:53:19.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:53:19.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:53:19.317Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:53:19.317Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:53:19.317Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (47121.854 ms) ====== [2026-02-18T23:53:19.317Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T23:53:19.317Z] GC before operation: completed in 173.583 ms, heap usage 291.870 MB -> 89.893 MB. [2026-02-18T23:53:26.679Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T23:53:34.125Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T23:53:41.736Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T23:53:47.529Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T23:53:52.410Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T23:53:56.370Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T23:54:00.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T23:54:05.053Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T23:54:05.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-18T23:54:05.053Z] The best model improves the baseline by 14.34%. [2026-02-18T23:54:05.365Z] Top recommended movies for user id 72: [2026-02-18T23:54:05.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T23:54:05.366Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T23:54:05.366Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T23:54:05.366Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T23:54:05.366Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T23:54:05.366Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46340.831 ms) ====== [2026-02-18T23:54:05.696Z] ----------------------------------- [2026-02-18T23:54:05.696Z] renaissance-movie-lens_0_PASSED [2026-02-18T23:54:05.696Z] ----------------------------------- [2026-02-18T23:54:06.026Z] [2026-02-18T23:54:06.026Z] TEST TEARDOWN: [2026-02-18T23:54:06.026Z] Nothing to be done for teardown. [2026-02-18T23:54:06.341Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 23:54:06 2026 Epoch Time (ms): 1771458846078