[2025-11-19T23:23:18.133Z] Running test renaissance-movie-lens_0 ... [2025-11-19T23:23:18.133Z] =============================================== [2025-11-19T23:23:18.133Z] renaissance-movie-lens_0 Start Time: Wed Nov 19 23:23:17 2025 Epoch Time (ms): 1763594597948 [2025-11-19T23:23:18.133Z] variation: NoOptions [2025-11-19T23:23:18.133Z] JVM_OPTIONS: [2025-11-19T23:23:18.133Z] { \ [2025-11-19T23:23:18.133Z] echo ""; echo "TEST SETUP:"; \ [2025-11-19T23:23:18.133Z] echo "Nothing to be done for setup."; \ [2025-11-19T23:23:18.133Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17635928547027/renaissance-movie-lens_0"; \ [2025-11-19T23:23:18.133Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17635928547027/renaissance-movie-lens_0"; \ [2025-11-19T23:23:18.133Z] echo ""; echo "TESTING:"; \ [2025-11-19T23:23:18.133Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17635928547027/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-19T23:23:18.134Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17635928547027/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-19T23:23:18.134Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-19T23:23:18.134Z] echo "Nothing to be done for teardown."; \ [2025-11-19T23:23:18.134Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17635928547027/TestTargetResult"; [2025-11-19T23:23:18.134Z] [2025-11-19T23:23:18.134Z] TEST SETUP: [2025-11-19T23:23:18.134Z] Nothing to be done for setup. [2025-11-19T23:23:18.134Z] [2025-11-19T23:23:18.134Z] TESTING: [2025-11-19T23:23:22.870Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-19T23:23:30.118Z] 23:23:29.559 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. [2025-11-19T23:23:33.164Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-19T23:23:33.492Z] Training: 60056, validation: 20285, test: 19854 [2025-11-19T23:23:33.492Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-19T23:23:33.820Z] GC before operation: completed in 120.622 ms, heap usage 144.914 MB -> 75.557 MB. [2025-11-19T23:23:41.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:23:46.972Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:23:50.757Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:23:54.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:23:56.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:23:58.445Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:24:00.780Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:24:02.431Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:24:02.759Z] 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. [2025-11-19T23:24:02.759Z] The best model improves the baseline by 14.34%. [2025-11-19T23:24:03.091Z] Top recommended movies for user id 72: [2025-11-19T23:24:03.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:24:03.091Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:24:03.091Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:24:03.091Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:24:03.091Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:24:03.091Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29250.542 ms) ====== [2025-11-19T23:24:03.091Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-19T23:24:03.091Z] GC before operation: completed in 155.378 ms, heap usage 216.845 MB -> 91.549 MB. [2025-11-19T23:24:06.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:24:09.115Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:24:12.060Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:24:14.311Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:24:15.456Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:24:17.120Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:24:18.349Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:24:20.020Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:24:20.020Z] 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. [2025-11-19T23:24:20.020Z] The best model improves the baseline by 14.34%. [2025-11-19T23:24:20.358Z] Top recommended movies for user id 72: [2025-11-19T23:24:20.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:24:20.358Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:24:20.358Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:24:20.358Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:24:20.358Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:24:20.358Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17071.823 ms) ====== [2025-11-19T23:24:20.358Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-19T23:24:20.358Z] GC before operation: completed in 150.909 ms, heap usage 235.216 MB -> 87.831 MB. [2025-11-19T23:24:22.644Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:24:24.908Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:24:27.883Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:24:29.548Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:24:31.201Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:24:32.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:24:33.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:24:35.645Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:24:35.974Z] 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. [2025-11-19T23:24:35.974Z] The best model improves the baseline by 14.34%. [2025-11-19T23:24:35.974Z] Top recommended movies for user id 72: [2025-11-19T23:24:35.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:24:35.974Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:24:35.974Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:24:35.974Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:24:35.974Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:24:35.974Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15674.145 ms) ====== [2025-11-19T23:24:35.974Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-19T23:24:36.301Z] GC before operation: completed in 161.951 ms, heap usage 429.073 MB -> 88.832 MB. [2025-11-19T23:24:38.550Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:24:40.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:24:43.169Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:24:45.415Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:24:46.557Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:24:47.700Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:24:49.427Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:24:50.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:24:50.895Z] 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. [2025-11-19T23:24:50.895Z] The best model improves the baseline by 14.34%. [2025-11-19T23:24:50.895Z] Top recommended movies for user id 72: [2025-11-19T23:24:50.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:24:50.895Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:24:50.895Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:24:50.895Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:24:50.895Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:24:50.895Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14792.099 ms) ====== [2025-11-19T23:24:50.895Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-19T23:24:51.239Z] GC before operation: completed in 139.815 ms, heap usage 316.338 MB -> 88.934 MB. [2025-11-19T23:24:53.486Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:24:55.739Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:24:57.987Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:25:00.235Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:25:01.381Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:25:03.033Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:25:04.735Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:25:05.443Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:25:05.770Z] 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. [2025-11-19T23:25:05.770Z] The best model improves the baseline by 14.34%. [2025-11-19T23:25:06.098Z] Top recommended movies for user id 72: [2025-11-19T23:25:06.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:25:06.098Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:25:06.098Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:25:06.098Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:25:06.098Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:25:06.098Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14837.618 ms) ====== [2025-11-19T23:25:06.098Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-19T23:25:06.098Z] GC before operation: completed in 133.779 ms, heap usage 440.509 MB -> 92.233 MB. [2025-11-19T23:25:08.350Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:25:10.596Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:25:12.945Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:25:14.610Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:25:16.265Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:25:17.406Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:25:19.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:25:20.245Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:25:20.245Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-19T23:25:20.245Z] The best model improves the baseline by 14.34%. [2025-11-19T23:25:20.245Z] Top recommended movies for user id 72: [2025-11-19T23:25:20.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:25:20.245Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:25:20.245Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:25:20.245Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:25:20.245Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:25:20.245Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14230.395 ms) ====== [2025-11-19T23:25:20.245Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-19T23:25:20.577Z] GC before operation: completed in 142.911 ms, heap usage 395.897 MB -> 89.395 MB. [2025-11-19T23:25:22.826Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:25:25.146Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:25:27.392Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:25:29.046Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:25:30.702Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:25:31.843Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:25:33.567Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:25:34.722Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:25:35.051Z] 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. [2025-11-19T23:25:35.051Z] The best model improves the baseline by 14.34%. [2025-11-19T23:25:35.051Z] Top recommended movies for user id 72: [2025-11-19T23:25:35.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:25:35.051Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:25:35.051Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:25:35.051Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:25:35.051Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:25:35.051Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14653.924 ms) ====== [2025-11-19T23:25:35.051Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-19T23:25:35.381Z] GC before operation: completed in 137.590 ms, heap usage 437.124 MB -> 89.450 MB. [2025-11-19T23:25:37.637Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:25:39.298Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:25:41.548Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:25:43.798Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:25:44.942Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:25:46.086Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:25:47.237Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:25:48.383Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:25:48.712Z] 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. [2025-11-19T23:25:48.712Z] The best model improves the baseline by 14.34%. [2025-11-19T23:25:48.712Z] Top recommended movies for user id 72: [2025-11-19T23:25:48.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:25:48.712Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:25:48.712Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:25:48.712Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:25:48.712Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:25:48.712Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13524.094 ms) ====== [2025-11-19T23:25:48.712Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-19T23:25:49.040Z] GC before operation: completed in 136.231 ms, heap usage 307.196 MB -> 89.485 MB. [2025-11-19T23:25:51.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:25:53.568Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:25:55.231Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:25:58.178Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:25:58.893Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:26:00.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:26:01.688Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:26:02.836Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:26:03.163Z] 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. [2025-11-19T23:26:03.163Z] The best model improves the baseline by 14.34%. [2025-11-19T23:26:03.163Z] Top recommended movies for user id 72: [2025-11-19T23:26:03.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:26:03.163Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:26:03.163Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:26:03.163Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:26:03.163Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:26:03.163Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14304.809 ms) ====== [2025-11-19T23:26:03.163Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-19T23:26:03.491Z] GC before operation: completed in 139.540 ms, heap usage 238.356 MB -> 89.217 MB. [2025-11-19T23:26:05.748Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:26:07.416Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:26:09.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:26:11.918Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:26:13.062Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:26:14.712Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:26:15.852Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:26:16.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:26:17.321Z] 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. [2025-11-19T23:26:17.678Z] The best model improves the baseline by 14.34%. [2025-11-19T23:26:17.678Z] Top recommended movies for user id 72: [2025-11-19T23:26:17.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:26:17.678Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:26:17.678Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:26:17.678Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:26:17.678Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:26:17.678Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14254.416 ms) ====== [2025-11-19T23:26:17.678Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-19T23:26:17.678Z] GC before operation: completed in 126.411 ms, heap usage 243.044 MB -> 89.410 MB. [2025-11-19T23:26:19.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:26:22.226Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:26:24.470Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:26:26.122Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:26:27.264Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:26:28.913Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:26:30.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:26:31.200Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:26:31.200Z] 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. [2025-11-19T23:26:31.200Z] The best model improves the baseline by 14.34%. [2025-11-19T23:26:31.531Z] Top recommended movies for user id 72: [2025-11-19T23:26:31.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:26:31.531Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:26:31.531Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:26:31.531Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:26:31.531Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:26:31.531Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13633.186 ms) ====== [2025-11-19T23:26:31.531Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-19T23:26:31.531Z] GC before operation: completed in 128.198 ms, heap usage 173.766 MB -> 89.082 MB. [2025-11-19T23:26:33.776Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:26:35.428Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:26:37.674Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:26:39.331Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:26:40.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:26:41.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:26:42.844Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:26:43.996Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:26:44.324Z] 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. [2025-11-19T23:26:44.324Z] The best model improves the baseline by 14.34%. [2025-11-19T23:26:44.650Z] Top recommended movies for user id 72: [2025-11-19T23:26:44.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:26:44.650Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:26:44.650Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:26:44.650Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:26:44.650Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:26:44.650Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12981.596 ms) ====== [2025-11-19T23:26:44.650Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-19T23:26:44.650Z] GC before operation: completed in 130.875 ms, heap usage 211.059 MB -> 89.251 MB. [2025-11-19T23:26:46.902Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:26:48.561Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:26:50.812Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:26:52.474Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:26:53.672Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:26:54.822Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:26:56.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:26:57.617Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:26:57.947Z] 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. [2025-11-19T23:26:57.947Z] The best model improves the baseline by 14.34%. [2025-11-19T23:26:57.947Z] Top recommended movies for user id 72: [2025-11-19T23:26:57.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:26:57.947Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:26:57.947Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:26:57.947Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:26:57.947Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:26:57.947Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13359.131 ms) ====== [2025-11-19T23:26:57.947Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-19T23:26:58.277Z] GC before operation: completed in 133.984 ms, heap usage 305.709 MB -> 89.615 MB. [2025-11-19T23:26:59.929Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:27:02.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:27:04.498Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:27:06.146Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:27:07.799Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:27:08.940Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:27:10.082Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:27:11.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:27:11.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-19T23:27:11.553Z] The best model improves the baseline by 14.34%. [2025-11-19T23:27:11.553Z] Top recommended movies for user id 72: [2025-11-19T23:27:11.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:27:11.553Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:27:11.553Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:27:11.553Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:27:11.553Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:27:11.553Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13471.086 ms) ====== [2025-11-19T23:27:11.553Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-19T23:27:11.881Z] GC before operation: completed in 132.910 ms, heap usage 169.884 MB -> 89.203 MB. [2025-11-19T23:27:13.533Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:27:15.780Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:27:18.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:27:19.681Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:27:20.822Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:27:21.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:27:23.107Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:27:24.247Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:27:24.628Z] 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. [2025-11-19T23:27:24.628Z] The best model improves the baseline by 14.34%. [2025-11-19T23:27:24.628Z] Top recommended movies for user id 72: [2025-11-19T23:27:24.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:27:24.628Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:27:24.628Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:27:24.628Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:27:24.628Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:27:24.628Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12945.817 ms) ====== [2025-11-19T23:27:24.628Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-19T23:27:24.999Z] GC before operation: completed in 136.936 ms, heap usage 244.750 MB -> 89.511 MB. [2025-11-19T23:27:26.658Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:27:28.906Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:27:31.158Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:27:32.812Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:27:33.957Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:27:35.101Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:27:36.245Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:27:37.386Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:27:37.714Z] 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. [2025-11-19T23:27:37.714Z] The best model improves the baseline by 14.34%. [2025-11-19T23:27:37.714Z] Top recommended movies for user id 72: [2025-11-19T23:27:37.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:27:37.714Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:27:37.714Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:27:37.714Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:27:37.714Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:27:37.714Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12916.613 ms) ====== [2025-11-19T23:27:37.714Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-19T23:27:37.714Z] GC before operation: completed in 129.310 ms, heap usage 182.060 MB -> 89.211 MB. [2025-11-19T23:27:39.964Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:27:42.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:27:43.908Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:27:45.559Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:27:47.231Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:27:48.453Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:27:49.616Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:27:50.781Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:27:50.781Z] 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. [2025-11-19T23:27:50.781Z] The best model improves the baseline by 14.34%. [2025-11-19T23:27:51.113Z] Top recommended movies for user id 72: [2025-11-19T23:27:51.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:27:51.113Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:27:51.113Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:27:51.113Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:27:51.113Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:27:51.113Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13179.507 ms) ====== [2025-11-19T23:27:51.113Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-19T23:27:51.113Z] GC before operation: completed in 119.472 ms, heap usage 189.541 MB -> 89.461 MB. [2025-11-19T23:27:53.381Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:27:55.059Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:27:57.318Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:27:58.972Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:28:00.622Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:28:01.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:28:02.977Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:28:04.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:28:04.122Z] 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. [2025-11-19T23:28:04.122Z] The best model improves the baseline by 14.34%. [2025-11-19T23:28:04.123Z] Top recommended movies for user id 72: [2025-11-19T23:28:04.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:28:04.123Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:28:04.123Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:28:04.123Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:28:04.123Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:28:04.123Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13081.862 ms) ====== [2025-11-19T23:28:04.123Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-19T23:28:04.450Z] GC before operation: completed in 124.945 ms, heap usage 116.443 MB -> 92.164 MB. [2025-11-19T23:28:06.700Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:28:08.349Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:28:10.642Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:28:12.301Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:28:13.442Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:28:14.588Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:28:15.729Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:28:16.870Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:28:17.198Z] 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. [2025-11-19T23:28:17.198Z] The best model improves the baseline by 14.34%. [2025-11-19T23:28:17.198Z] Top recommended movies for user id 72: [2025-11-19T23:28:17.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:28:17.198Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:28:17.198Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:28:17.198Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:28:17.198Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:28:17.198Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12901.845 ms) ====== [2025-11-19T23:28:17.198Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-19T23:28:17.526Z] GC before operation: completed in 138.284 ms, heap usage 597.514 MB -> 93.154 MB. [2025-11-19T23:28:19.771Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T23:28:21.426Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T23:28:23.673Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T23:28:25.322Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T23:28:26.469Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T23:28:27.688Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T23:28:28.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T23:28:30.001Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T23:28:30.001Z] 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. [2025-11-19T23:28:30.328Z] The best model improves the baseline by 14.34%. [2025-11-19T23:28:30.328Z] Top recommended movies for user id 72: [2025-11-19T23:28:30.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-19T23:28:30.328Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-19T23:28:30.328Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-19T23:28:30.328Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-19T23:28:30.328Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-19T23:28:30.328Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12864.451 ms) ====== [2025-11-19T23:28:30.655Z] ----------------------------------- [2025-11-19T23:28:30.655Z] renaissance-movie-lens_0_PASSED [2025-11-19T23:28:30.655Z] ----------------------------------- [2025-11-19T23:28:30.655Z] [2025-11-19T23:28:30.655Z] TEST TEARDOWN: [2025-11-19T23:28:30.655Z] Nothing to be done for teardown. [2025-11-19T23:28:30.655Z] renaissance-movie-lens_0 Finish Time: Wed Nov 19 23:28:30 2025 Epoch Time (ms): 1763594910630