renaissance-movie-lens_0
[2025-10-01T21:41:14.458Z] Running test renaissance-movie-lens_0 ...
[2025-10-01T21:41:14.458Z] ===============================================
[2025-10-01T21:41:14.458Z] renaissance-movie-lens_0 Start Time: Wed Oct 1 21:41:13 2025 Epoch Time (ms): 1759354873332
[2025-10-01T21:41:14.458Z] variation: NoOptions
[2025-10-01T21:41:14.458Z] JVM_OPTIONS:
[2025-10-01T21:41:14.458Z] { \
[2025-10-01T21:41:14.458Z] echo ""; echo "TEST SETUP:"; \
[2025-10-01T21:41:14.458Z] echo "Nothing to be done for setup."; \
[2025-10-01T21:41:14.458Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1759353045636/renaissance-movie-lens_0"; \
[2025-10-01T21:41:14.458Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1759353045636/renaissance-movie-lens_0"; \
[2025-10-01T21:41:14.458Z] echo ""; echo "TESTING:"; \
[2025-10-01T21:41:14.458Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1759353045636/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-01T21:41:14.458Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1759353045636/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-01T21:41:14.458Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-01T21:41:14.458Z] echo "Nothing to be done for teardown."; \
[2025-10-01T21:41:14.458Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1759353045636/TestTargetResult";
[2025-10-01T21:41:14.458Z]
[2025-10-01T21:41:14.458Z] TEST SETUP:
[2025-10-01T21:41:14.458Z] Nothing to be done for setup.
[2025-10-01T21:41:14.458Z]
[2025-10-01T21:41:14.458Z] TESTING:
[2025-10-01T21:41:20.814Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-01T21:41:32.248Z] 21:41:30.421 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.
[2025-10-01T21:41:33.596Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-01T21:41:34.418Z] Training: 60056, validation: 20285, test: 19854
[2025-10-01T21:41:34.418Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-01T21:41:34.418Z] GC before operation: completed in 132.442 ms, heap usage 191.703 MB -> 75.850 MB.
[2025-10-01T21:41:43.968Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:41:47.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:41:52.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:41:55.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:41:59.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:42:01.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:42:03.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:42:06.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:42:06.589Z] 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.
[2025-10-01T21:42:06.589Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:42:06.974Z] Top recommended movies for user id 72:
[2025-10-01T21:42:06.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:42:06.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:42:06.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:42:06.974Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:42:06.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:42:06.974Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32555.903 ms) ======
[2025-10-01T21:42:06.974Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-01T21:42:06.974Z] GC before operation: completed in 143.716 ms, heap usage 515.036 MB -> 86.935 MB.
[2025-10-01T21:42:11.127Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:42:16.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:42:18.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:42:21.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:42:23.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:42:25.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:42:27.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:42:30.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:42:30.239Z] 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.
[2025-10-01T21:42:30.239Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:42:30.626Z] Top recommended movies for user id 72:
[2025-10-01T21:42:30.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:42:30.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:42:30.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:42:30.626Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:42:30.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:42:30.626Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23523.017 ms) ======
[2025-10-01T21:42:30.626Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-01T21:42:30.626Z] GC before operation: completed in 145.823 ms, heap usage 364.133 MB -> 88.847 MB.
[2025-10-01T21:42:34.766Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:42:38.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:42:41.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:42:44.692Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:42:46.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:42:48.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:42:50.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:42:53.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:42:53.020Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-01T21:42:53.020Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:42:53.393Z] Top recommended movies for user id 72:
[2025-10-01T21:42:53.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:42:53.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:42:53.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:42:53.393Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:42:53.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:42:53.393Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22591.264 ms) ======
[2025-10-01T21:42:53.393Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-01T21:42:53.393Z] GC before operation: completed in 146.129 ms, heap usage 360.951 MB -> 89.452 MB.
[2025-10-01T21:42:56.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:42:59.191Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:43:02.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:43:05.792Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:43:07.697Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:43:09.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:43:11.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:43:12.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:43:13.359Z] 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.
[2025-10-01T21:43:13.359Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:43:13.799Z] Top recommended movies for user id 72:
[2025-10-01T21:43:13.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:43:13.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:43:13.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:43:13.799Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:43:13.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:43:13.799Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20208.665 ms) ======
[2025-10-01T21:43:13.799Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-01T21:43:13.799Z] GC before operation: completed in 144.086 ms, heap usage 179.385 MB -> 89.543 MB.
[2025-10-01T21:43:17.056Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:43:20.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:43:23.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:43:26.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:43:28.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:43:29.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:43:31.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:43:33.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:43:34.184Z] 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.
[2025-10-01T21:43:34.184Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:43:34.184Z] Top recommended movies for user id 72:
[2025-10-01T21:43:34.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:43:34.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:43:34.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:43:34.184Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:43:34.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:43:34.184Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20452.600 ms) ======
[2025-10-01T21:43:34.184Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-01T21:43:34.560Z] GC before operation: completed in 145.428 ms, heap usage 358.483 MB -> 89.732 MB.
[2025-10-01T21:43:37.786Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:43:40.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:43:43.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:43:46.118Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:43:47.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:43:49.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:43:51.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:43:53.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:43:53.479Z] 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.
[2025-10-01T21:43:53.479Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:43:53.842Z] Top recommended movies for user id 72:
[2025-10-01T21:43:53.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:43:53.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:43:53.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:43:53.842Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:43:53.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:43:53.842Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19396.108 ms) ======
[2025-10-01T21:43:53.842Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-01T21:43:53.842Z] GC before operation: completed in 141.325 ms, heap usage 197.363 MB -> 89.826 MB.
[2025-10-01T21:43:57.009Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:43:59.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:44:02.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:44:06.167Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:44:07.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:44:09.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:44:11.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:44:13.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:44:13.440Z] 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.
[2025-10-01T21:44:13.440Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:44:13.837Z] Top recommended movies for user id 72:
[2025-10-01T21:44:13.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:44:13.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:44:13.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:44:13.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:44:13.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:44:13.838Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19801.611 ms) ======
[2025-10-01T21:44:13.838Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-01T21:44:13.838Z] GC before operation: completed in 167.925 ms, heap usage 445.058 MB -> 90.130 MB.
[2025-10-01T21:44:17.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:44:20.322Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:44:22.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:44:26.058Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:44:27.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:44:29.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:44:31.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:44:33.533Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:44:33.909Z] 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.
[2025-10-01T21:44:34.281Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:44:34.281Z] Top recommended movies for user id 72:
[2025-10-01T21:44:34.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:44:34.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:44:34.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:44:34.281Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:44:34.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:44:34.281Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20416.449 ms) ======
[2025-10-01T21:44:34.281Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-01T21:44:34.281Z] GC before operation: completed in 139.719 ms, heap usage 127.547 MB -> 91.440 MB.
[2025-10-01T21:44:37.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:44:40.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:44:43.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:44:46.564Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:44:47.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:44:49.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:44:51.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:44:53.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:44:53.925Z] 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.
[2025-10-01T21:44:53.926Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:44:54.322Z] Top recommended movies for user id 72:
[2025-10-01T21:44:54.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:44:54.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:44:54.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:44:54.322Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:44:54.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:44:54.322Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19686.993 ms) ======
[2025-10-01T21:44:54.322Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-01T21:44:54.322Z] GC before operation: completed in 137.402 ms, heap usage 369.463 MB -> 90.176 MB.
[2025-10-01T21:44:57.663Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:00.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:45:03.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:45:06.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:45:08.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:45:10.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:45:12.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:45:13.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:45:14.275Z] 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.
[2025-10-01T21:45:14.276Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:45:14.644Z] Top recommended movies for user id 72:
[2025-10-01T21:45:14.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:45:14.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:45:14.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:45:14.644Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:45:14.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:45:14.644Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20262.951 ms) ======
[2025-10-01T21:45:14.644Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-01T21:45:14.644Z] GC before operation: completed in 139.220 ms, heap usage 183.415 MB -> 90.033 MB.
[2025-10-01T21:45:17.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:21.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:45:23.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:45:26.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:45:28.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:45:30.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:45:32.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:45:34.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:45:34.668Z] 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.
[2025-10-01T21:45:34.668Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:45:34.668Z] Top recommended movies for user id 72:
[2025-10-01T21:45:34.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:45:34.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:45:34.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:45:34.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:45:34.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:45:34.668Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20075.516 ms) ======
[2025-10-01T21:45:34.668Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-01T21:45:35.032Z] GC before operation: completed in 149.769 ms, heap usage 250.175 MB -> 89.843 MB.
[2025-10-01T21:45:37.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:40.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:45:43.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:45:45.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:45:47.524Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:45:49.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:45:51.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:45:52.648Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:45:53.014Z] 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.
[2025-10-01T21:45:53.014Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:45:53.382Z] Top recommended movies for user id 72:
[2025-10-01T21:45:53.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:45:53.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:45:53.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:45:53.382Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:45:53.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:45:53.382Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18372.794 ms) ======
[2025-10-01T21:45:53.382Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-01T21:45:53.382Z] GC before operation: completed in 156.852 ms, heap usage 237.156 MB -> 90.058 MB.
[2025-10-01T21:45:56.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:59.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:46:02.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:46:04.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:46:06.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:46:08.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:46:10.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:46:12.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:46:12.273Z] 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.
[2025-10-01T21:46:12.273Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:46:12.798Z] Top recommended movies for user id 72:
[2025-10-01T21:46:12.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:46:12.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:46:12.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:46:12.798Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:46:12.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:46:12.798Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19227.910 ms) ======
[2025-10-01T21:46:12.798Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-01T21:46:12.798Z] GC before operation: completed in 139.661 ms, heap usage 105.309 MB -> 92.174 MB.
[2025-10-01T21:46:16.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:46:19.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:46:22.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:46:25.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:46:26.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:46:28.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:46:30.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:46:32.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:46:32.775Z] 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.
[2025-10-01T21:46:33.139Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:46:33.139Z] Top recommended movies for user id 72:
[2025-10-01T21:46:33.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:46:33.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:46:33.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:46:33.139Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:46:33.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:46:33.139Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20388.687 ms) ======
[2025-10-01T21:46:33.139Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-01T21:46:33.502Z] GC before operation: completed in 150.585 ms, heap usage 152.175 MB -> 92.131 MB.
[2025-10-01T21:46:36.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:46:39.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:46:42.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:46:45.687Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:46:47.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:46:48.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:46:51.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:46:53.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:46:53.217Z] 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.
[2025-10-01T21:46:53.217Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:46:53.217Z] Top recommended movies for user id 72:
[2025-10-01T21:46:53.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:46:53.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:46:53.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:46:53.217Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:46:53.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:46:53.217Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20002.342 ms) ======
[2025-10-01T21:46:53.217Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-01T21:46:53.587Z] GC before operation: completed in 140.813 ms, heap usage 448.550 MB -> 90.543 MB.
[2025-10-01T21:46:56.853Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:46:59.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:47:02.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:47:06.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:47:07.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:47:09.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:47:11.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:47:13.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:47:13.878Z] 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.
[2025-10-01T21:47:13.878Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:47:13.878Z] Top recommended movies for user id 72:
[2025-10-01T21:47:13.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:47:13.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:47:13.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:47:13.878Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:47:13.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:47:13.878Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20557.325 ms) ======
[2025-10-01T21:47:13.878Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-01T21:47:14.258Z] GC before operation: completed in 140.850 ms, heap usage 290.975 MB -> 90.185 MB.
[2025-10-01T21:47:17.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:19.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:47:23.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:47:25.574Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:47:27.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:47:29.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:47:31.197Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:47:33.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:47:33.392Z] 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.
[2025-10-01T21:47:33.392Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:47:33.759Z] Top recommended movies for user id 72:
[2025-10-01T21:47:33.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:47:33.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:47:33.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:47:33.759Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:47:33.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:47:33.759Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19589.101 ms) ======
[2025-10-01T21:47:33.759Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-01T21:47:33.759Z] GC before operation: completed in 137.940 ms, heap usage 362.557 MB -> 90.409 MB.
[2025-10-01T21:47:36.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:40.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:47:42.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:47:45.913Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:47:47.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:47:49.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:47:51.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:47:53.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:47:53.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-01T21:47:53.658Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:47:53.658Z] Top recommended movies for user id 72:
[2025-10-01T21:47:53.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:47:53.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:47:53.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:47:53.658Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:47:53.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:47:53.658Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19908.535 ms) ======
[2025-10-01T21:47:53.658Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-01T21:47:54.156Z] GC before operation: completed in 143.782 ms, heap usage 291.858 MB -> 90.142 MB.
[2025-10-01T21:47:57.336Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:59.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:48:03.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:48:06.233Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:48:07.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:48:09.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:48:11.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:48:13.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:48:13.655Z] 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.
[2025-10-01T21:48:13.655Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:48:13.655Z] Top recommended movies for user id 72:
[2025-10-01T21:48:13.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:48:13.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:48:13.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:48:13.655Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:48:13.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:48:13.655Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19776.100 ms) ======
[2025-10-01T21:48:13.655Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-01T21:48:14.019Z] GC before operation: completed in 143.603 ms, heap usage 480.413 MB -> 90.471 MB.
[2025-10-01T21:48:17.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:48:19.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:48:23.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:48:26.294Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:48:27.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:48:29.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:48:31.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:48:33.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:48:33.454Z] 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.
[2025-10-01T21:48:33.454Z] The best model improves the baseline by 14.52%.
[2025-10-01T21:48:33.818Z] Top recommended movies for user id 72:
[2025-10-01T21:48:33.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-01T21:48:33.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-01T21:48:33.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-01T21:48:33.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-01T21:48:33.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-01T21:48:33.818Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19860.348 ms) ======
[2025-10-01T21:48:34.598Z] -----------------------------------
[2025-10-01T21:48:34.598Z] renaissance-movie-lens_0_PASSED
[2025-10-01T21:48:34.598Z] -----------------------------------
[2025-10-01T21:48:34.598Z]
[2025-10-01T21:48:34.598Z] TEST TEARDOWN:
[2025-10-01T21:48:34.598Z] Nothing to be done for teardown.
[2025-10-01T21:48:34.598Z] renaissance-movie-lens_0 Finish Time: Wed Oct 1 21:48:34 2025 Epoch Time (ms): 1759355314191