renaissance-movie-lens_0
[2025-08-30T03:09:30.555Z] Running test renaissance-movie-lens_0 ...
[2025-08-30T03:09:30.555Z] ===============================================
[2025-08-30T03:09:30.555Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 03:09:30 2025 Epoch Time (ms): 1756523370258
[2025-08-30T03:09:30.555Z] variation: NoOptions
[2025-08-30T03:09:30.555Z] JVM_OPTIONS:
[2025-08-30T03:09:30.555Z] { \
[2025-08-30T03:09:30.555Z] echo ""; echo "TEST SETUP:"; \
[2025-08-30T03:09:30.555Z] echo "Nothing to be done for setup."; \
[2025-08-30T03:09:30.555Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_1756521736814/renaissance-movie-lens_0"; \
[2025-08-30T03:09:30.555Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_1756521736814/renaissance-movie-lens_0"; \
[2025-08-30T03:09:30.555Z] echo ""; echo "TESTING:"; \
[2025-08-30T03:09:30.555Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/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_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_1756521736814/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-30T03:09:30.555Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_1756521736814/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-30T03:09:30.555Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-30T03:09:30.555Z] echo "Nothing to be done for teardown."; \
[2025-08-30T03:09:30.555Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_1756521736814/TestTargetResult";
[2025-08-30T03:09:30.555Z]
[2025-08-30T03:09:30.555Z] TEST SETUP:
[2025-08-30T03:09:30.555Z] Nothing to be done for setup.
[2025-08-30T03:09:30.555Z]
[2025-08-30T03:09:30.555Z] TESTING:
[2025-08-30T03:09:42.069Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-30T03:09:56.027Z] 03:09:54.270 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-30T03:09:59.555Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-30T03:10:01.198Z] Training: 60056, validation: 20285, test: 19854
[2025-08-30T03:10:01.198Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-30T03:10:01.198Z] GC before operation: completed in 352.403 ms, heap usage 135.929 MB -> 75.886 MB.
[2025-08-30T03:10:18.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:10:30.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:10:40.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:10:59.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:11:02.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:11:07.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:11:12.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:11:17.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:11:17.316Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:11:17.316Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:11:18.108Z] Top recommended movies for user id 72:
[2025-08-30T03:11:18.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:11:18.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:11:18.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:11:18.108Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:11:18.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:11:18.108Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (76690.376 ms) ======
[2025-08-30T03:11:18.108Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-30T03:11:18.108Z] GC before operation: completed in 403.801 ms, heap usage 370.501 MB -> 86.767 MB.
[2025-08-30T03:11:25.149Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:11:32.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:11:39.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:11:44.985Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:11:48.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:11:53.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:11:56.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:12:00.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:12:00.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:12:00.181Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:12:00.980Z] Top recommended movies for user id 72:
[2025-08-30T03:12:00.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:12:00.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:12:00.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:12:00.980Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:12:00.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:12:00.980Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (42430.153 ms) ======
[2025-08-30T03:12:00.980Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-30T03:12:00.980Z] GC before operation: completed in 314.519 ms, heap usage 530.432 MB -> 92.350 MB.
[2025-08-30T03:12:07.294Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:12:13.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:12:20.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:12:24.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:12:28.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:12:31.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:12:36.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:12:38.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:12:39.742Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:12:39.742Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:12:39.742Z] Top recommended movies for user id 72:
[2025-08-30T03:12:39.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:12:39.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:12:39.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:12:39.742Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:12:39.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:12:39.742Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38768.111 ms) ======
[2025-08-30T03:12:39.742Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-30T03:12:39.742Z] GC before operation: completed in 256.719 ms, heap usage 281.269 MB -> 89.274 MB.
[2025-08-30T03:12:45.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:12:51.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:12:56.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:13:02.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:13:05.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:13:10.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:13:13.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:13:17.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:13:17.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:13:17.292Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:13:18.086Z] Top recommended movies for user id 72:
[2025-08-30T03:13:18.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:13:18.086Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:13:18.086Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:13:18.086Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:13:18.086Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:13:18.086Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37887.129 ms) ======
[2025-08-30T03:13:18.086Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-30T03:13:18.086Z] GC before operation: completed in 303.513 ms, heap usage 178.849 MB -> 89.526 MB.
[2025-08-30T03:13:23.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:13:29.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:13:35.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:13:41.056Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:13:44.511Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:13:47.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:13:52.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:13:55.789Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:13:56.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:13:56.573Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:13:56.573Z] Top recommended movies for user id 72:
[2025-08-30T03:13:56.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:13:56.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:13:56.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:13:56.573Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:13:56.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:13:56.573Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38411.798 ms) ======
[2025-08-30T03:13:56.573Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-30T03:13:57.350Z] GC before operation: completed in 349.458 ms, heap usage 428.936 MB -> 89.783 MB.
[2025-08-30T03:14:03.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:14:08.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:14:14.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:14:19.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:14:22.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:14:25.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:14:29.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:14:31.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:14:32.623Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:14:32.623Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:14:32.623Z] Top recommended movies for user id 72:
[2025-08-30T03:14:32.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:14:32.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:14:32.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:14:32.623Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:14:32.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:14:32.623Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35909.209 ms) ======
[2025-08-30T03:14:32.623Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-30T03:14:33.393Z] GC before operation: completed in 343.021 ms, heap usage 222.592 MB -> 89.783 MB.
[2025-08-30T03:14:39.214Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:14:43.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:14:49.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:14:53.841Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:14:57.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:15:00.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:15:04.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:15:07.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:15:08.389Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:15:08.390Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:15:08.390Z] Top recommended movies for user id 72:
[2025-08-30T03:15:08.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:15:08.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:15:08.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:15:08.390Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:15:08.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:15:08.390Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35355.764 ms) ======
[2025-08-30T03:15:08.390Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-30T03:15:09.167Z] GC before operation: completed in 357.909 ms, heap usage 101.910 MB -> 89.514 MB.
[2025-08-30T03:15:14.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:15:20.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:15:26.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:15:32.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:15:35.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:15:38.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:15:42.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:15:44.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:15:45.745Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:15:46.606Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:15:46.606Z] Top recommended movies for user id 72:
[2025-08-30T03:15:46.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:15:46.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:15:46.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:15:46.607Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:15:46.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:15:46.607Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (37508.463 ms) ======
[2025-08-30T03:15:46.607Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-30T03:15:46.607Z] GC before operation: completed in 257.870 ms, heap usage 98.043 MB -> 89.726 MB.
[2025-08-30T03:15:52.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:15:57.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:16:04.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:16:09.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:16:13.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:16:16.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:16:20.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:16:23.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:16:23.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:16:23.536Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:16:24.310Z] Top recommended movies for user id 72:
[2025-08-30T03:16:24.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:16:24.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:16:24.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:16:24.310Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:16:24.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:16:24.310Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37365.860 ms) ======
[2025-08-30T03:16:24.310Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-30T03:16:24.310Z] GC before operation: completed in 305.143 ms, heap usage 225.104 MB -> 89.803 MB.
[2025-08-30T03:16:29.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:16:35.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:16:41.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:16:46.798Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:16:49.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:16:52.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:16:55.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:16:58.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:16:58.779Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:16:58.779Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:16:59.554Z] Top recommended movies for user id 72:
[2025-08-30T03:16:59.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:16:59.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:16:59.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:16:59.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:16:59.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:16:59.554Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34845.178 ms) ======
[2025-08-30T03:16:59.554Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-30T03:16:59.554Z] GC before operation: completed in 277.312 ms, heap usage 359.456 MB -> 90.236 MB.
[2025-08-30T03:17:05.195Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:17:10.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:17:16.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:17:20.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:17:23.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:17:26.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:17:30.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:17:33.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:17:33.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:17:33.760Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:17:34.542Z] Top recommended movies for user id 72:
[2025-08-30T03:17:34.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:17:34.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:17:34.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:17:34.542Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:17:34.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:17:34.542Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34705.568 ms) ======
[2025-08-30T03:17:34.542Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-30T03:17:34.542Z] GC before operation: completed in 346.682 ms, heap usage 237.517 MB -> 89.733 MB.
[2025-08-30T03:17:40.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:17:45.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:17:50.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:17:56.344Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:17:58.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:18:01.285Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:18:04.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:18:08.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:18:08.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:18:08.953Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:18:08.953Z] Top recommended movies for user id 72:
[2025-08-30T03:18:08.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:18:08.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:18:08.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:18:08.953Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:18:08.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:18:08.953Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (34480.618 ms) ======
[2025-08-30T03:18:08.953Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-30T03:18:08.953Z] GC before operation: completed in 279.745 ms, heap usage 99.997 MB -> 92.635 MB.
[2025-08-30T03:18:14.584Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:18:20.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:18:25.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:18:30.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:18:33.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:18:36.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:18:40.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:18:42.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:18:43.395Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:18:43.395Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:18:43.395Z] Top recommended movies for user id 72:
[2025-08-30T03:18:43.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:18:43.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:18:43.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:18:43.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:18:43.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:18:43.395Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (34334.471 ms) ======
[2025-08-30T03:18:43.395Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-30T03:18:44.173Z] GC before operation: completed in 285.265 ms, heap usage 754.730 MB -> 94.092 MB.
[2025-08-30T03:18:49.988Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:18:55.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:19:01.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:19:06.793Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:19:10.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:19:12.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:19:16.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:19:19.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:19:19.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:19:19.600Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:19:20.377Z] Top recommended movies for user id 72:
[2025-08-30T03:19:20.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:19:20.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:19:20.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:19:20.377Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:19:20.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:19:20.377Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36073.705 ms) ======
[2025-08-30T03:19:20.377Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-30T03:19:20.377Z] GC before operation: completed in 345.501 ms, heap usage 194.513 MB -> 89.998 MB.
[2025-08-30T03:19:26.518Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:19:31.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:19:37.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:19:42.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:19:44.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:19:48.324Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:19:50.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:19:54.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:19:55.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:19:55.052Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:19:55.052Z] Top recommended movies for user id 72:
[2025-08-30T03:19:55.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:19:55.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:19:55.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:19:55.052Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:19:55.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:19:55.052Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34740.440 ms) ======
[2025-08-30T03:19:55.053Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-30T03:19:55.833Z] GC before operation: completed in 389.965 ms, heap usage 211.906 MB -> 90.199 MB.
[2025-08-30T03:20:01.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:20:05.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:20:12.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:20:17.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:20:21.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:20:23.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:20:28.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:20:30.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:20:31.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:20:31.350Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:20:32.120Z] Top recommended movies for user id 72:
[2025-08-30T03:20:32.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:20:32.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:20:32.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:20:32.121Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:20:32.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:20:32.121Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (36272.001 ms) ======
[2025-08-30T03:20:32.121Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-30T03:20:32.121Z] GC before operation: completed in 310.458 ms, heap usage 299.861 MB -> 90.160 MB.
[2025-08-30T03:20:37.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:20:42.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:20:49.114Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:20:53.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:20:57.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:21:00.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:21:04.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:21:07.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:21:08.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:21:08.362Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:21:08.362Z] Top recommended movies for user id 72:
[2025-08-30T03:21:08.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:21:08.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:21:08.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:21:08.362Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:21:08.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:21:08.362Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (36273.758 ms) ======
[2025-08-30T03:21:08.362Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-30T03:21:08.362Z] GC before operation: completed in 319.886 ms, heap usage 475.532 MB -> 90.535 MB.
[2025-08-30T03:21:13.999Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:21:19.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:21:24.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:21:29.688Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:21:32.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:21:34.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:21:38.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:21:40.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:21:41.314Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:21:41.315Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:21:41.315Z] Top recommended movies for user id 72:
[2025-08-30T03:21:41.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:21:41.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:21:41.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:21:41.315Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:21:41.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:21:41.315Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32831.338 ms) ======
[2025-08-30T03:21:41.315Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-30T03:21:42.086Z] GC before operation: completed in 304.409 ms, heap usage 239.333 MB -> 89.952 MB.
[2025-08-30T03:21:47.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:21:52.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:21:57.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:22:02.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:22:05.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:22:09.324Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:22:12.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:22:16.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:22:16.981Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:22:16.981Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:22:17.756Z] Top recommended movies for user id 72:
[2025-08-30T03:22:17.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:22:17.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:22:17.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:22:17.756Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:22:17.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:22:17.756Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (35659.603 ms) ======
[2025-08-30T03:22:17.756Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-30T03:22:17.756Z] GC before operation: completed in 305.730 ms, heap usage 430.993 MB -> 90.661 MB.
[2025-08-30T03:22:23.539Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T03:22:29.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T03:22:34.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T03:22:39.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T03:22:43.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T03:22:45.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T03:22:49.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T03:22:52.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T03:22:53.479Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T03:22:53.479Z] The best model improves the baseline by 14.52%.
[2025-08-30T03:22:53.479Z] Top recommended movies for user id 72:
[2025-08-30T03:22:53.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T03:22:53.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T03:22:53.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T03:22:53.479Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T03:22:53.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T03:22:53.479Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (35799.794 ms) ======
[2025-08-30T03:22:54.252Z] -----------------------------------
[2025-08-30T03:22:54.252Z] renaissance-movie-lens_0_PASSED
[2025-08-30T03:22:54.252Z] -----------------------------------
[2025-08-30T03:22:54.252Z]
[2025-08-30T03:22:54.252Z] TEST TEARDOWN:
[2025-08-30T03:22:54.252Z] Nothing to be done for teardown.
[2025-08-30T03:22:54.252Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 03:22:53 2025 Epoch Time (ms): 1756524173942