renaissance-movie-lens_0
[2025-08-01T22:29:25.097Z] Running test renaissance-movie-lens_0 ...
[2025-08-01T22:29:25.097Z] ===============================================
[2025-08-01T22:29:25.097Z] renaissance-movie-lens_0 Start Time: Fri Aug 1 22:29:24 2025 Epoch Time (ms): 1754087364807
[2025-08-01T22:29:25.097Z] variation: NoOptions
[2025-08-01T22:29:25.097Z] JVM_OPTIONS:
[2025-08-01T22:29:25.097Z] { \
[2025-08-01T22:29:25.097Z] echo ""; echo "TEST SETUP:"; \
[2025-08-01T22:29:25.097Z] echo "Nothing to be done for setup."; \
[2025-08-01T22:29:25.097Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1754084504458/renaissance-movie-lens_0"; \
[2025-08-01T22:29:25.097Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1754084504458/renaissance-movie-lens_0"; \
[2025-08-01T22:29:25.097Z] echo ""; echo "TESTING:"; \
[2025-08-01T22:29:25.097Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1754084504458/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-01T22:29:25.097Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1754084504458/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-01T22:29:25.097Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-01T22:29:25.097Z] echo "Nothing to be done for teardown."; \
[2025-08-01T22:29:25.097Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1754084504458/TestTargetResult";
[2025-08-01T22:29:25.097Z]
[2025-08-01T22:29:25.097Z] TEST SETUP:
[2025-08-01T22:29:25.097Z] Nothing to be done for setup.
[2025-08-01T22:29:25.097Z]
[2025-08-01T22:29:25.097Z] TESTING:
[2025-08-01T22:29:34.468Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-01T22:29:45.848Z] 22:29:44.674 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.
[2025-08-01T22:29:48.399Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-01T22:29:49.728Z] Training: 60056, validation: 20285, test: 19854
[2025-08-01T22:29:49.728Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-01T22:29:49.728Z] GC before operation: completed in 175.715 ms, heap usage 310.163 MB -> 74.472 MB.
[2025-08-01T22:30:01.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:30:06.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:30:12.144Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:30:17.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:30:20.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:30:23.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:30:26.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:30:29.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:30:29.535Z] 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.
[2025-08-01T22:30:29.928Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:30:29.928Z] Top recommended movies for user id 72:
[2025-08-01T22:30:29.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:30:29.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:30:29.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:30:29.928Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:30:29.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:30:29.928Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (40428.048 ms) ======
[2025-08-01T22:30:29.928Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-01T22:30:30.308Z] GC before operation: completed in 197.481 ms, heap usage 349.466 MB -> 85.523 MB.
[2025-08-01T22:30:34.637Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:30:39.840Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:30:44.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:30:48.261Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:30:51.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:30:54.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:30:56.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:30:59.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:30:59.299Z] 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.
[2025-08-01T22:30:59.299Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:30:59.679Z] Top recommended movies for user id 72:
[2025-08-01T22:30:59.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:30:59.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:30:59.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:30:59.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:30:59.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:30:59.679Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (29264.016 ms) ======
[2025-08-01T22:30:59.679Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-01T22:30:59.679Z] GC before operation: completed in 154.313 ms, heap usage 335.404 MB -> 87.602 MB.
[2025-08-01T22:31:03.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:31:08.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:31:13.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:31:17.294Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:31:19.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:31:21.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:31:24.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:31:26.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:31:26.720Z] 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.
[2025-08-01T22:31:27.117Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:31:27.118Z] Top recommended movies for user id 72:
[2025-08-01T22:31:27.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:31:27.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:31:27.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:31:27.118Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:31:27.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:31:27.118Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27538.576 ms) ======
[2025-08-01T22:31:27.118Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-01T22:31:27.486Z] GC before operation: completed in 191.178 ms, heap usage 122.153 MB -> 88.157 MB.
[2025-08-01T22:31:31.618Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:31:35.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:31:39.975Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:31:44.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:31:46.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:31:49.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:31:51.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:31:53.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:31:53.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-01T22:31:54.188Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:31:54.188Z] Top recommended movies for user id 72:
[2025-08-01T22:31:54.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:31:54.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:31:54.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:31:54.188Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:31:54.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:31:54.188Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26826.220 ms) ======
[2025-08-01T22:31:54.188Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-01T22:31:54.571Z] GC before operation: completed in 152.938 ms, heap usage 335.172 MB -> 88.530 MB.
[2025-08-01T22:31:58.773Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:32:02.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:32:07.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:32:11.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:32:13.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:32:16.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:32:19.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:32:21.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:32:22.077Z] 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.
[2025-08-01T22:32:22.077Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:32:22.077Z] Top recommended movies for user id 72:
[2025-08-01T22:32:22.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:32:22.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:32:22.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:32:22.077Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:32:22.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:32:22.077Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27805.823 ms) ======
[2025-08-01T22:32:22.077Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-01T22:32:22.459Z] GC before operation: completed in 170.675 ms, heap usage 211.997 MB -> 88.297 MB.
[2025-08-01T22:32:26.613Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:32:30.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:32:34.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:32:38.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:32:40.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:32:42.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:32:45.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:32:47.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:32:47.757Z] 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.
[2025-08-01T22:32:47.757Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:32:47.757Z] Top recommended movies for user id 72:
[2025-08-01T22:32:47.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:32:47.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:32:47.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:32:47.757Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:32:47.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:32:47.757Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25447.198 ms) ======
[2025-08-01T22:32:47.757Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-01T22:32:48.135Z] GC before operation: completed in 161.007 ms, heap usage 264.613 MB -> 88.718 MB.
[2025-08-01T22:32:52.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:32:56.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:32:59.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:33:03.898Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:33:06.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:33:08.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:33:10.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:33:12.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:33:13.406Z] 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.
[2025-08-01T22:33:13.406Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:33:13.406Z] Top recommended movies for user id 72:
[2025-08-01T22:33:13.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:33:13.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:33:13.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:33:13.406Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:33:13.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:33:13.406Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25436.426 ms) ======
[2025-08-01T22:33:13.406Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-01T22:33:13.894Z] GC before operation: completed in 179.837 ms, heap usage 285.988 MB -> 88.688 MB.
[2025-08-01T22:33:18.011Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:33:21.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:33:25.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:33:29.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:33:31.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:33:34.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:33:35.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:33:38.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:33:38.568Z] 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.
[2025-08-01T22:33:38.568Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:33:38.947Z] Top recommended movies for user id 72:
[2025-08-01T22:33:38.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:33:38.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:33:38.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:33:38.947Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:33:38.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:33:38.947Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25191.559 ms) ======
[2025-08-01T22:33:38.947Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-01T22:33:38.947Z] GC before operation: completed in 166.627 ms, heap usage 408.054 MB -> 89.014 MB.
[2025-08-01T22:33:43.153Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:33:46.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:33:50.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:33:54.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:33:56.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:33:59.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:34:01.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:34:03.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:34:03.767Z] 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.
[2025-08-01T22:34:04.138Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:34:04.138Z] Top recommended movies for user id 72:
[2025-08-01T22:34:04.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:34:04.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:34:04.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:34:04.138Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:34:04.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:34:04.138Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25197.813 ms) ======
[2025-08-01T22:34:04.138Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-01T22:34:04.511Z] GC before operation: completed in 160.457 ms, heap usage 122.939 MB -> 88.552 MB.
[2025-08-01T22:34:07.928Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:34:12.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:34:16.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:34:19.508Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:34:22.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:34:24.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:34:26.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:34:29.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:34:29.428Z] 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.
[2025-08-01T22:34:29.428Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:34:29.428Z] Top recommended movies for user id 72:
[2025-08-01T22:34:29.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:34:29.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:34:29.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:34:29.428Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:34:29.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:34:29.428Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25212.363 ms) ======
[2025-08-01T22:34:29.428Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-01T22:34:29.808Z] GC before operation: completed in 172.090 ms, heap usage 413.154 MB -> 89.082 MB.
[2025-08-01T22:34:33.963Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:34:37.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:34:41.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:34:45.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:34:47.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:34:50.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:34:52.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:34:54.498Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:34:54.888Z] 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.
[2025-08-01T22:34:54.888Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:34:55.309Z] Top recommended movies for user id 72:
[2025-08-01T22:34:55.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:34:55.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:34:55.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:34:55.309Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:34:55.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:34:55.309Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25373.890 ms) ======
[2025-08-01T22:34:55.309Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-01T22:34:55.309Z] GC before operation: completed in 165.966 ms, heap usage 194.680 MB -> 88.581 MB.
[2025-08-01T22:34:59.473Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:35:02.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:35:06.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:35:11.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:35:12.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:35:15.482Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:35:18.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:35:20.598Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:35:20.598Z] 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.
[2025-08-01T22:35:20.598Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:35:20.977Z] Top recommended movies for user id 72:
[2025-08-01T22:35:20.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:35:20.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:35:20.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:35:20.977Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:35:20.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:35:20.977Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25602.423 ms) ======
[2025-08-01T22:35:20.977Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-01T22:35:20.977Z] GC before operation: completed in 158.889 ms, heap usage 175.824 MB -> 88.775 MB.
[2025-08-01T22:35:25.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:35:28.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:35:32.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:35:36.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:35:38.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:35:41.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:35:43.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:35:46.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:35:46.398Z] 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.
[2025-08-01T22:35:46.768Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:35:46.768Z] Top recommended movies for user id 72:
[2025-08-01T22:35:46.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:35:46.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:35:46.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:35:46.768Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:35:46.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:35:46.768Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25818.186 ms) ======
[2025-08-01T22:35:46.768Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-01T22:35:47.148Z] GC before operation: completed in 158.308 ms, heap usage 173.722 MB -> 88.862 MB.
[2025-08-01T22:35:51.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:35:54.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:35:58.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:36:03.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:36:04.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:36:07.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:36:09.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:36:11.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:36:12.187Z] 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.
[2025-08-01T22:36:12.187Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:36:12.187Z] Top recommended movies for user id 72:
[2025-08-01T22:36:12.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:36:12.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:36:12.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:36:12.187Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:36:12.187Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:36:12.187Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25356.045 ms) ======
[2025-08-01T22:36:12.187Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-01T22:36:12.576Z] GC before operation: completed in 177.610 ms, heap usage 419.216 MB -> 88.969 MB.
[2025-08-01T22:36:16.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:36:20.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:36:24.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:36:28.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:36:30.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:36:32.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:36:35.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:36:37.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:36:37.818Z] 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.
[2025-08-01T22:36:37.818Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:36:37.818Z] Top recommended movies for user id 72:
[2025-08-01T22:36:37.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:36:37.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:36:37.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:36:37.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:36:37.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:36:37.818Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25436.961 ms) ======
[2025-08-01T22:36:37.818Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-01T22:36:38.227Z] GC before operation: completed in 155.108 ms, heap usage 120.443 MB -> 88.828 MB.
[2025-08-01T22:36:42.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:36:45.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:36:50.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:36:54.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:36:56.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:36:58.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:37:01.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:37:03.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:37:03.616Z] 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.
[2025-08-01T22:37:04.017Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:37:04.017Z] Top recommended movies for user id 72:
[2025-08-01T22:37:04.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:37:04.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:37:04.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:37:04.017Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:37:04.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:37:04.017Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25940.000 ms) ======
[2025-08-01T22:37:04.018Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-01T22:37:04.385Z] GC before operation: completed in 162.939 ms, heap usage 163.719 MB -> 88.801 MB.
[2025-08-01T22:37:08.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:37:11.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:37:16.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:37:20.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:37:22.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:37:24.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:37:26.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:37:29.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:37:29.438Z] 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.
[2025-08-01T22:37:29.438Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:37:29.438Z] Top recommended movies for user id 72:
[2025-08-01T22:37:29.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:37:29.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:37:29.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:37:29.438Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:37:29.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:37:29.438Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25329.520 ms) ======
[2025-08-01T22:37:29.438Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-01T22:37:29.810Z] GC before operation: completed in 152.017 ms, heap usage 164.155 MB -> 88.870 MB.
[2025-08-01T22:37:33.945Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:37:37.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:37:41.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:37:45.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:37:47.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:37:49.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:37:52.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:37:54.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:37:54.987Z] 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.
[2025-08-01T22:37:54.987Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:37:54.987Z] Top recommended movies for user id 72:
[2025-08-01T22:37:54.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:37:54.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:37:54.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:37:54.987Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:37:54.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:37:54.987Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25456.772 ms) ======
[2025-08-01T22:37:54.988Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-01T22:37:55.362Z] GC before operation: completed in 157.296 ms, heap usage 224.589 MB -> 88.746 MB.
[2025-08-01T22:37:59.490Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:38:02.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:38:07.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:38:11.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:38:13.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:38:14.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:38:17.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:38:19.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:38:19.746Z] 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.
[2025-08-01T22:38:20.122Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:38:20.122Z] Top recommended movies for user id 72:
[2025-08-01T22:38:20.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:38:20.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:38:20.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:38:20.122Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:38:20.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:38:20.122Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24827.154 ms) ======
[2025-08-01T22:38:20.122Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-01T22:38:20.493Z] GC before operation: completed in 159.834 ms, heap usage 285.938 MB -> 88.932 MB.
[2025-08-01T22:38:24.652Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:38:27.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:38:32.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:38:35.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:38:38.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:38:39.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:38:42.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:38:44.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:38:44.945Z] 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.
[2025-08-01T22:38:44.945Z] The best model improves the baseline by 14.52%.
[2025-08-01T22:38:45.318Z] Top recommended movies for user id 72:
[2025-08-01T22:38:45.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-01T22:38:45.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-01T22:38:45.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-01T22:38:45.318Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-01T22:38:45.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-01T22:38:45.318Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24954.325 ms) ======
[2025-08-01T22:38:46.105Z] -----------------------------------
[2025-08-01T22:38:46.105Z] renaissance-movie-lens_0_PASSED
[2025-08-01T22:38:46.105Z] -----------------------------------
[2025-08-01T22:38:46.105Z]
[2025-08-01T22:38:46.105Z] TEST TEARDOWN:
[2025-08-01T22:38:46.105Z] Nothing to be done for teardown.
[2025-08-01T22:38:46.105Z] renaissance-movie-lens_0 Finish Time: Fri Aug 1 22:38:45 2025 Epoch Time (ms): 1754087925754