renaissance-movie-lens_0
[2025-10-03T21:22:08.375Z] Running test renaissance-movie-lens_0 ...
[2025-10-03T21:22:08.375Z] ===============================================
[2025-10-03T21:22:08.375Z] renaissance-movie-lens_0 Start Time: Fri Oct 3 21:22:08 2025 Epoch Time (ms): 1759526528143
[2025-10-03T21:22:08.375Z] variation: NoOptions
[2025-10-03T21:22:08.375Z] JVM_OPTIONS:
[2025-10-03T21:22:08.375Z] { \
[2025-10-03T21:22:08.375Z] echo ""; echo "TEST SETUP:"; \
[2025-10-03T21:22:08.375Z] echo "Nothing to be done for setup."; \
[2025-10-03T21:22:08.375Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17595248078176/renaissance-movie-lens_0"; \
[2025-10-03T21:22:08.375Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17595248078176/renaissance-movie-lens_0"; \
[2025-10-03T21:22:08.375Z] echo ""; echo "TESTING:"; \
[2025-10-03T21:22:08.375Z] "/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_17595248078176/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-03T21:22:08.375Z] 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_17595248078176/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-03T21:22:08.375Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-03T21:22:08.375Z] echo "Nothing to be done for teardown."; \
[2025-10-03T21:22:08.375Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17595248078176/TestTargetResult";
[2025-10-03T21:22:08.375Z]
[2025-10-03T21:22:08.375Z] TEST SETUP:
[2025-10-03T21:22:08.375Z] Nothing to be done for setup.
[2025-10-03T21:22:08.375Z]
[2025-10-03T21:22:08.375Z] TESTING:
[2025-10-03T21:22:18.236Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-03T21:22:32.543Z] 21:22:30.668 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-03T21:22:34.503Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-03T21:22:35.457Z] Training: 60056, validation: 20285, test: 19854
[2025-10-03T21:22:35.457Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-03T21:22:35.457Z] GC before operation: completed in 225.233 ms, heap usage 184.876 MB -> 76.047 MB.
[2025-10-03T21:22:47.029Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:22:51.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:22:57.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:23:02.072Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:23:05.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:23:08.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:23:11.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:23:13.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:23:14.044Z] 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.
[2025-10-03T21:23:14.044Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:23:14.044Z] Top recommended movies for user id 72:
[2025-10-03T21:23:14.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:23:14.044Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:23:14.044Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:23:14.044Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:23:14.044Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:23:14.044Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38330.223 ms) ======
[2025-10-03T21:23:14.044Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-03T21:23:14.044Z] GC before operation: completed in 243.254 ms, heap usage 297.507 MB -> 86.725 MB.
[2025-10-03T21:23:19.438Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:23:23.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:23:27.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:23:32.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:23:34.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:23:36.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:23:39.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:23:41.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:23:41.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-03T21:23:41.012Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:23:41.970Z] Top recommended movies for user id 72:
[2025-10-03T21:23:41.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:23:41.970Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:23:41.970Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:23:41.970Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:23:41.970Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:23:41.970Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27249.277 ms) ======
[2025-10-03T21:23:41.970Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-03T21:23:41.970Z] GC before operation: completed in 230.303 ms, heap usage 275.610 MB -> 88.753 MB.
[2025-10-03T21:23:44.988Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:23:49.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:23:52.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:23:55.873Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:23:57.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:23:59.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:24:01.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:24:03.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:24:03.751Z] 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.
[2025-10-03T21:24:04.708Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:24:04.708Z] Top recommended movies for user id 72:
[2025-10-03T21:24:04.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:24:04.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:24:04.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:24:04.708Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:24:04.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:24:04.708Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22644.492 ms) ======
[2025-10-03T21:24:04.708Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-03T21:24:04.708Z] GC before operation: completed in 218.789 ms, heap usage 282.817 MB -> 90.715 MB.
[2025-10-03T21:24:07.741Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:24:11.886Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:24:14.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:24:19.074Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:24:21.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:24:23.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:24:25.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:24:27.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:24:28.002Z] 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.
[2025-10-03T21:24:28.002Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:24:28.002Z] Top recommended movies for user id 72:
[2025-10-03T21:24:28.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:24:28.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:24:28.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:24:28.002Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:24:28.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:24:28.002Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23462.826 ms) ======
[2025-10-03T21:24:28.002Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-03T21:24:28.002Z] GC before operation: completed in 196.367 ms, heap usage 129.693 MB -> 92.877 MB.
[2025-10-03T21:24:32.148Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:24:35.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:24:39.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:24:42.334Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:24:44.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:24:46.241Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:24:48.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:24:50.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:24:51.095Z] 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.
[2025-10-03T21:24:51.095Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:24:51.095Z] Top recommended movies for user id 72:
[2025-10-03T21:24:51.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:24:51.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:24:51.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:24:51.096Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:24:51.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:24:51.096Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22591.016 ms) ======
[2025-10-03T21:24:51.096Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-03T21:24:51.096Z] GC before operation: completed in 231.402 ms, heap usage 495.483 MB -> 89.923 MB.
[2025-10-03T21:24:55.250Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:24:58.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:25:01.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:25:05.012Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:25:06.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:25:08.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:25:10.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:25:12.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:25:12.848Z] 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.
[2025-10-03T21:25:12.848Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:25:12.848Z] Top recommended movies for user id 72:
[2025-10-03T21:25:12.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:25:12.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:25:12.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:25:12.848Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:25:12.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:25:12.848Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21910.862 ms) ======
[2025-10-03T21:25:12.848Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-03T21:25:12.848Z] GC before operation: completed in 188.854 ms, heap usage 310.209 MB -> 90.058 MB.
[2025-10-03T21:25:16.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:25:20.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:25:23.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:25:27.334Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:25:29.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:25:31.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:25:33.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:25:35.155Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:25:35.155Z] 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.
[2025-10-03T21:25:35.155Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:25:35.155Z] Top recommended movies for user id 72:
[2025-10-03T21:25:35.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:25:35.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:25:35.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:25:35.155Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:25:35.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:25:35.155Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22292.632 ms) ======
[2025-10-03T21:25:35.155Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-03T21:25:36.109Z] GC before operation: completed in 193.598 ms, heap usage 367.673 MB -> 90.073 MB.
[2025-10-03T21:25:39.132Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:25:42.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:25:45.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:25:49.340Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:25:50.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:25:52.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:25:54.212Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:25:56.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:25:57.120Z] 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.
[2025-10-03T21:25:57.120Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:25:57.120Z] Top recommended movies for user id 72:
[2025-10-03T21:25:57.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:25:57.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:25:57.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:25:57.120Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:25:57.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:25:57.120Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21464.254 ms) ======
[2025-10-03T21:25:57.120Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-03T21:25:57.120Z] GC before operation: completed in 188.351 ms, heap usage 101.168 MB -> 90.055 MB.
[2025-10-03T21:26:01.258Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:26:04.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:26:07.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:26:10.323Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:26:12.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:26:14.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:26:16.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:26:18.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:26:18.857Z] 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.
[2025-10-03T21:26:18.857Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:26:19.818Z] Top recommended movies for user id 72:
[2025-10-03T21:26:19.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:26:19.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:26:19.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:26:19.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:26:19.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:26:19.818Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21666.670 ms) ======
[2025-10-03T21:26:19.818Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-03T21:26:19.818Z] GC before operation: completed in 207.273 ms, heap usage 99.483 MB -> 90.282 MB.
[2025-10-03T21:26:22.898Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:26:25.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:26:28.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:26:31.957Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:26:32.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:26:34.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:26:36.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:26:38.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:26:38.763Z] 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.
[2025-10-03T21:26:39.712Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:26:39.712Z] Top recommended movies for user id 72:
[2025-10-03T21:26:39.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:26:39.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:26:39.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:26:39.712Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:26:39.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:26:39.712Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20155.620 ms) ======
[2025-10-03T21:26:39.712Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-03T21:26:39.712Z] GC before operation: completed in 207.928 ms, heap usage 288.192 MB -> 90.181 MB.
[2025-10-03T21:26:42.721Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:26:45.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:26:49.898Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:26:52.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:26:54.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:26:56.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:26:58.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:27:00.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:27:00.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-03T21:27:00.714Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:27:00.714Z] Top recommended movies for user id 72:
[2025-10-03T21:27:00.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:27:00.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:27:00.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:27:00.714Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:27:00.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:27:00.714Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21450.065 ms) ======
[2025-10-03T21:27:00.714Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-03T21:27:01.664Z] GC before operation: completed in 198.867 ms, heap usage 98.237 MB -> 90.105 MB.
[2025-10-03T21:27:04.689Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:27:07.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:27:10.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:27:13.748Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:27:15.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:27:17.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:27:19.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:27:21.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:27:22.608Z] 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.
[2025-10-03T21:27:22.608Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:27:22.608Z] Top recommended movies for user id 72:
[2025-10-03T21:27:22.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:27:22.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:27:22.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:27:22.608Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:27:22.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:27:22.609Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21169.868 ms) ======
[2025-10-03T21:27:22.609Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-03T21:27:22.609Z] GC before operation: completed in 241.130 ms, heap usage 200.778 MB -> 90.054 MB.
[2025-10-03T21:27:25.630Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:27:29.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:27:32.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:27:35.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:27:36.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:27:38.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:27:40.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:27:42.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:27:42.274Z] 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.
[2025-10-03T21:27:42.274Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:27:43.234Z] Top recommended movies for user id 72:
[2025-10-03T21:27:43.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:27:43.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:27:43.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:27:43.234Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:27:43.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:27:43.234Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20171.639 ms) ======
[2025-10-03T21:27:43.234Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-03T21:27:43.234Z] GC before operation: completed in 188.811 ms, heap usage 410.832 MB -> 90.497 MB.
[2025-10-03T21:27:46.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:27:49.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:27:52.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:27:55.332Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:27:57.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:27:59.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:28:00.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:28:02.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:28:02.197Z] 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.
[2025-10-03T21:28:03.148Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:28:03.148Z] Top recommended movies for user id 72:
[2025-10-03T21:28:03.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:28:03.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:28:03.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:28:03.149Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:28:03.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:28:03.149Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19782.823 ms) ======
[2025-10-03T21:28:03.149Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-03T21:28:03.149Z] GC before operation: completed in 193.053 ms, heap usage 104.740 MB -> 93.521 MB.
[2025-10-03T21:28:06.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:28:09.259Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:28:11.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:28:14.278Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:28:16.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:28:18.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:28:19.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:28:21.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:28:21.131Z] 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.
[2025-10-03T21:28:21.131Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:28:21.131Z] Top recommended movies for user id 72:
[2025-10-03T21:28:21.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:28:21.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:28:21.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:28:21.131Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:28:21.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:28:21.131Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18484.138 ms) ======
[2025-10-03T21:28:21.131Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-03T21:28:22.117Z] GC before operation: completed in 204.692 ms, heap usage 599.761 MB -> 94.010 MB.
[2025-10-03T21:28:24.574Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:28:27.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:28:30.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:28:33.830Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:28:35.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:28:37.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:28:39.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:28:41.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:28:41.641Z] 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.
[2025-10-03T21:28:41.641Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:28:41.641Z] Top recommended movies for user id 72:
[2025-10-03T21:28:41.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:28:41.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:28:41.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:28:41.641Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:28:41.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:28:41.641Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20068.535 ms) ======
[2025-10-03T21:28:41.641Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-03T21:28:41.641Z] GC before operation: completed in 191.221 ms, heap usage 96.978 MB -> 90.444 MB.
[2025-10-03T21:28:44.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:28:47.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:28:50.674Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:28:53.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:28:55.654Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:28:57.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:28:59.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:29:01.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:29:01.526Z] 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.
[2025-10-03T21:29:01.526Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:29:02.472Z] Top recommended movies for user id 72:
[2025-10-03T21:29:02.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:29:02.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:29:02.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:29:02.472Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:29:02.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:29:02.472Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20055.506 ms) ======
[2025-10-03T21:29:02.472Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-03T21:29:02.472Z] GC before operation: completed in 190.807 ms, heap usage 316.506 MB -> 90.369 MB.
[2025-10-03T21:29:05.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:29:08.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:29:11.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:29:14.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:29:16.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:29:17.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:29:19.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:29:21.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:29:21.363Z] 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.
[2025-10-03T21:29:21.363Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:29:22.464Z] Top recommended movies for user id 72:
[2025-10-03T21:29:22.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:29:22.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:29:22.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:29:22.464Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:29:22.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:29:22.464Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19651.445 ms) ======
[2025-10-03T21:29:22.464Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-03T21:29:22.464Z] GC before operation: completed in 186.929 ms, heap usage 113.492 MB -> 92.908 MB.
[2025-10-03T21:29:25.479Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:29:28.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:29:31.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:29:34.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:29:35.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:29:38.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:29:39.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:29:41.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:29:41.957Z] 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.
[2025-10-03T21:29:41.957Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:29:41.957Z] Top recommended movies for user id 72:
[2025-10-03T21:29:41.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:29:41.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:29:41.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:29:41.957Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:29:41.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:29:41.957Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20018.842 ms) ======
[2025-10-03T21:29:41.957Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-03T21:29:41.957Z] GC before operation: completed in 194.634 ms, heap usage 550.845 MB -> 93.793 MB.
[2025-10-03T21:29:46.105Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-03T21:29:48.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-03T21:29:51.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-03T21:29:54.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-03T21:29:56.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-03T21:29:58.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-03T21:29:59.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-03T21:30:00.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-03T21:30:01.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-03T21:30:01.948Z] The best model improves the baseline by 14.52%.
[2025-10-03T21:30:01.948Z] Top recommended movies for user id 72:
[2025-10-03T21:30:01.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-03T21:30:01.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-03T21:30:01.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-03T21:30:01.948Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-03T21:30:01.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-03T21:30:01.948Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19451.070 ms) ======
[2025-10-03T21:30:03.001Z] -----------------------------------
[2025-10-03T21:30:03.001Z] renaissance-movie-lens_0_PASSED
[2025-10-03T21:30:03.001Z] -----------------------------------
[2025-10-03T21:30:03.001Z]
[2025-10-03T21:30:03.001Z] TEST TEARDOWN:
[2025-10-03T21:30:03.001Z] Nothing to be done for teardown.
[2025-10-03T21:30:03.001Z] renaissance-movie-lens_0 Finish Time: Fri Oct 3 21:30:02 2025 Epoch Time (ms): 1759527002372