renaissance-movie-lens_0
[2025-12-20T17:22:08.544Z] Running test renaissance-movie-lens_0 ...
[2025-12-20T17:22:08.544Z] ===============================================
[2025-12-20T17:22:08.544Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 17:22:08 2025 Epoch Time (ms): 1766251328274
[2025-12-20T17:22:08.544Z] variation: NoOptions
[2025-12-20T17:22:08.544Z] JVM_OPTIONS:
[2025-12-20T17:22:08.544Z] { \
[2025-12-20T17:22:08.544Z] echo ""; echo "TEST SETUP:"; \
[2025-12-20T17:22:08.544Z] echo "Nothing to be done for setup."; \
[2025-12-20T17:22:08.544Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662497329366/renaissance-movie-lens_0"; \
[2025-12-20T17:22:08.544Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662497329366/renaissance-movie-lens_0"; \
[2025-12-20T17:22:08.544Z] echo ""; echo "TESTING:"; \
[2025-12-20T17:22:08.544Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-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_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662497329366/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-20T17:22:08.544Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662497329366/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-20T17:22:08.544Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-20T17:22:08.544Z] echo "Nothing to be done for teardown."; \
[2025-12-20T17:22:08.545Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662497329366/TestTargetResult";
[2025-12-20T17:22:08.545Z]
[2025-12-20T17:22:08.545Z] TEST SETUP:
[2025-12-20T17:22:08.545Z] Nothing to be done for setup.
[2025-12-20T17:22:08.545Z]
[2025-12-20T17:22:08.545Z] TESTING:
[2025-12-20T17:22:09.502Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-20T17:22:09.503Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17662497329366/renaissance-movie-lens_0/launcher-172208-1779397432306897561/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-20T17:22:09.503Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-20T17:22:09.503Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-20T17:22:16.280Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-20T17:22:27.889Z] 17:22:26.294 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.
[2025-12-20T17:22:28.855Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-20T17:22:29.819Z] Training: 60056, validation: 20285, test: 19854
[2025-12-20T17:22:29.819Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-20T17:22:29.819Z] GC before operation: completed in 108.193 ms, heap usage 190.919 MB -> 75.644 MB.
[2025-12-20T17:22:38.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:22:43.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:22:47.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:22:52.040Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:22:55.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:22:57.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:23:00.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:23:02.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:23:03.037Z] 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.
[2025-12-20T17:23:03.037Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:23:03.037Z] Top recommended movies for user id 72:
[2025-12-20T17:23:03.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:23:03.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:23:03.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:23:03.037Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:23:03.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:23:03.037Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33097.888 ms) ======
[2025-12-20T17:23:03.037Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-20T17:23:03.037Z] GC before operation: completed in 184.843 ms, heap usage 111.710 MB -> 86.188 MB.
[2025-12-20T17:23:07.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:23:11.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:23:14.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:23:18.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:23:20.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:23:22.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:23:24.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:23:26.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:23:26.768Z] 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.
[2025-12-20T17:23:26.768Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:23:27.725Z] Top recommended movies for user id 72:
[2025-12-20T17:23:27.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:23:27.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:23:27.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:23:27.725Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:23:27.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:23:27.725Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23908.628 ms) ======
[2025-12-20T17:23:27.725Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-20T17:23:27.725Z] GC before operation: completed in 188.373 ms, heap usage 384.826 MB -> 88.676 MB.
[2025-12-20T17:23:30.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:23:33.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:23:38.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:23:39.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:23:41.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:23:43.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:23:45.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:23:47.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:23:47.899Z] 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.
[2025-12-20T17:23:47.899Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:23:47.899Z] Top recommended movies for user id 72:
[2025-12-20T17:23:47.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:23:47.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:23:47.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:23:47.899Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:23:47.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:23:47.899Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20804.895 ms) ======
[2025-12-20T17:23:47.899Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-20T17:23:48.856Z] GC before operation: completed in 212.182 ms, heap usage 121.695 MB -> 88.989 MB.
[2025-12-20T17:23:51.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:23:54.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:23:58.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:24:00.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:24:02.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:24:04.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:24:06.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:24:08.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:24:08.700Z] 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.
[2025-12-20T17:24:08.700Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:24:08.700Z] Top recommended movies for user id 72:
[2025-12-20T17:24:08.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:24:08.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:24:08.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:24:08.700Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:24:08.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:24:08.700Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20147.882 ms) ======
[2025-12-20T17:24:08.700Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-20T17:24:08.700Z] GC before operation: completed in 265.795 ms, heap usage 416.037 MB -> 89.713 MB.
[2025-12-20T17:24:11.820Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:24:14.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:24:17.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:24:20.963Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:24:22.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:24:24.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:24:25.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:24:27.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:24:27.845Z] 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.
[2025-12-20T17:24:27.845Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:24:27.845Z] Top recommended movies for user id 72:
[2025-12-20T17:24:27.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:24:27.845Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:24:27.845Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:24:27.845Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:24:27.845Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:24:27.845Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19354.053 ms) ======
[2025-12-20T17:24:27.845Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-20T17:24:28.807Z] GC before operation: completed in 161.955 ms, heap usage 543.924 MB -> 93.074 MB.
[2025-12-20T17:24:31.857Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:24:33.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:24:36.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:24:39.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:24:41.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:24:42.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:24:44.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:24:46.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:24:46.846Z] 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.
[2025-12-20T17:24:46.846Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:24:46.846Z] Top recommended movies for user id 72:
[2025-12-20T17:24:46.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:24:46.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:24:46.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:24:46.846Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:24:46.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:24:46.846Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18838.687 ms) ======
[2025-12-20T17:24:46.846Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-20T17:24:47.805Z] GC before operation: completed in 150.875 ms, heap usage 357.381 MB -> 89.892 MB.
[2025-12-20T17:24:49.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:24:52.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:24:55.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:24:58.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:24:59.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:25:01.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:25:02.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:25:04.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:25:04.481Z] 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.
[2025-12-20T17:25:04.481Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:25:05.440Z] Top recommended movies for user id 72:
[2025-12-20T17:25:05.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:25:05.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:25:05.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:25:05.440Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:25:05.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:25:05.440Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17650.488 ms) ======
[2025-12-20T17:25:05.440Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-20T17:25:05.440Z] GC before operation: completed in 269.387 ms, heap usage 225.199 MB -> 91.393 MB.
[2025-12-20T17:25:08.482Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:25:11.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:25:13.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:25:16.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:25:17.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:25:19.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:25:21.480Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:25:22.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:25:22.439Z] 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.
[2025-12-20T17:25:22.439Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:25:23.398Z] Top recommended movies for user id 72:
[2025-12-20T17:25:23.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:25:23.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:25:23.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:25:23.398Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:25:23.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:25:23.398Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17598.207 ms) ======
[2025-12-20T17:25:23.398Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-20T17:25:23.398Z] GC before operation: completed in 235.123 ms, heap usage 260.075 MB -> 89.930 MB.
[2025-12-20T17:25:25.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:25:28.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:25:30.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:25:33.664Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:25:34.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:25:36.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:25:38.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:25:39.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:25:39.706Z] 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.
[2025-12-20T17:25:39.706Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:25:40.666Z] Top recommended movies for user id 72:
[2025-12-20T17:25:40.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:25:40.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:25:40.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:25:40.666Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:25:40.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:25:40.666Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17124.026 ms) ======
[2025-12-20T17:25:40.666Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-20T17:25:40.666Z] GC before operation: completed in 210.362 ms, heap usage 181.646 MB -> 89.730 MB.
[2025-12-20T17:25:43.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:25:46.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:25:54.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:25:54.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:25:55.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:25:55.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:25:57.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:25:59.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:25:59.681Z] 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.
[2025-12-20T17:25:59.681Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:25:59.681Z] Top recommended movies for user id 72:
[2025-12-20T17:25:59.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:25:59.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:25:59.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:25:59.681Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:25:59.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:25:59.681Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19197.679 ms) ======
[2025-12-20T17:25:59.681Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-20T17:25:59.681Z] GC before operation: completed in 213.972 ms, heap usage 173.304 MB -> 89.854 MB.
[2025-12-20T17:26:02.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:26:05.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:26:08.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:26:11.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:26:12.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:26:14.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:26:16.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:26:18.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:26:18.772Z] 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.
[2025-12-20T17:26:18.772Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:26:18.772Z] Top recommended movies for user id 72:
[2025-12-20T17:26:18.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:26:18.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:26:18.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:26:18.772Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:26:18.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:26:18.772Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18824.289 ms) ======
[2025-12-20T17:26:18.772Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-20T17:26:18.772Z] GC before operation: completed in 167.432 ms, heap usage 98.345 MB -> 89.966 MB.
[2025-12-20T17:26:21.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:26:24.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:26:27.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:26:30.987Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:26:31.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:26:33.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:26:35.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:26:37.875Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:26:37.875Z] 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.
[2025-12-20T17:26:37.875Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:26:37.875Z] Top recommended movies for user id 72:
[2025-12-20T17:26:37.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:26:37.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:26:37.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:26:37.875Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:26:37.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:26:37.875Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18918.003 ms) ======
[2025-12-20T17:26:37.875Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-20T17:26:37.875Z] GC before operation: completed in 163.365 ms, heap usage 409.681 MB -> 90.082 MB.
[2025-12-20T17:26:40.930Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:26:43.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:26:45.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:26:50.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:26:50.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:26:52.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:26:53.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:26:55.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:26:55.144Z] 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.
[2025-12-20T17:26:55.144Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:26:55.144Z] Top recommended movies for user id 72:
[2025-12-20T17:26:55.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:26:55.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:26:55.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:26:55.144Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:26:55.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:26:55.144Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17427.900 ms) ======
[2025-12-20T17:26:55.144Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-20T17:26:55.144Z] GC before operation: completed in 174.623 ms, heap usage 242.119 MB -> 89.949 MB.
[2025-12-20T17:26:58.193Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:27:01.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:27:03.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:27:06.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:27:08.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:27:09.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:27:11.189Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:27:12.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:27:12.149Z] 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.
[2025-12-20T17:27:12.149Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:27:13.105Z] Top recommended movies for user id 72:
[2025-12-20T17:27:13.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:27:13.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:27:13.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:27:13.105Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:27:13.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:27:13.105Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17095.370 ms) ======
[2025-12-20T17:27:13.105Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-20T17:27:13.105Z] GC before operation: completed in 167.034 ms, heap usage 236.985 MB -> 89.760 MB.
[2025-12-20T17:27:16.149Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:27:18.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:27:21.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:27:24.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:27:26.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:27:27.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:27:29.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:27:31.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:27:31.089Z] 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.
[2025-12-20T17:27:31.089Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:27:31.089Z] Top recommended movies for user id 72:
[2025-12-20T17:27:31.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:27:31.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:27:31.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:27:31.089Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:27:31.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:27:31.089Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18332.496 ms) ======
[2025-12-20T17:27:31.089Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-20T17:27:31.089Z] GC before operation: completed in 259.671 ms, heap usage 388.771 MB -> 90.292 MB.
[2025-12-20T17:27:34.130Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:27:37.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:27:40.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:27:44.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:27:45.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:27:45.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:27:47.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:27:49.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:27:49.916Z] 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.
[2025-12-20T17:27:49.916Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:27:49.916Z] Top recommended movies for user id 72:
[2025-12-20T17:27:49.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:27:49.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:27:49.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:27:49.916Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:27:49.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:27:49.916Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18897.126 ms) ======
[2025-12-20T17:27:49.916Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-20T17:27:50.871Z] GC before operation: completed in 272.291 ms, heap usage 292.670 MB -> 90.037 MB.
[2025-12-20T17:27:53.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:27:55.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:27:59.040Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:28:02.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:28:04.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:28:06.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:28:07.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:28:09.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:28:09.164Z] 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.
[2025-12-20T17:28:09.164Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:28:09.164Z] Top recommended movies for user id 72:
[2025-12-20T17:28:09.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:28:09.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:28:09.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:28:09.164Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:28:09.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:28:09.164Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18970.391 ms) ======
[2025-12-20T17:28:09.164Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-20T17:28:10.124Z] GC before operation: completed in 157.961 ms, heap usage 364.427 MB -> 90.311 MB.
[2025-12-20T17:28:13.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:28:16.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:28:19.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:28:22.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:28:23.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:28:25.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:28:27.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:28:29.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:28:29.484Z] 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.
[2025-12-20T17:28:29.484Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:28:29.484Z] Top recommended movies for user id 72:
[2025-12-20T17:28:29.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:28:29.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:28:29.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:28:29.484Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:28:29.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:28:29.484Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20159.493 ms) ======
[2025-12-20T17:28:29.484Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-20T17:28:30.442Z] GC before operation: completed in 264.944 ms, heap usage 407.485 MB -> 90.017 MB.
[2025-12-20T17:28:33.486Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:28:36.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:28:40.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:28:41.245Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:28:43.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:28:45.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:28:46.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:28:48.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:28:48.118Z] 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.
[2025-12-20T17:28:48.118Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:28:48.118Z] Top recommended movies for user id 72:
[2025-12-20T17:28:48.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:28:48.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:28:48.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:28:48.118Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:28:48.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:28:48.118Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18359.626 ms) ======
[2025-12-20T17:28:48.118Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-20T17:28:49.073Z] GC before operation: completed in 157.987 ms, heap usage 275.827 MB -> 90.011 MB.
[2025-12-20T17:28:52.107Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T17:28:54.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T17:28:57.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T17:29:00.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T17:29:01.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T17:29:03.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T17:29:05.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T17:29:06.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T17:29:07.672Z] 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.
[2025-12-20T17:29:07.672Z] The best model improves the baseline by 14.52%.
[2025-12-20T17:29:07.672Z] Top recommended movies for user id 72:
[2025-12-20T17:29:07.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T17:29:07.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T17:29:07.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T17:29:07.672Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T17:29:07.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T17:29:07.672Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18852.656 ms) ======
[2025-12-20T17:29:08.629Z] -----------------------------------
[2025-12-20T17:29:08.629Z] renaissance-movie-lens_0_PASSED
[2025-12-20T17:29:08.629Z] -----------------------------------
[2025-12-20T17:29:08.629Z]
[2025-12-20T17:29:08.629Z] TEST TEARDOWN:
[2025-12-20T17:29:08.629Z] Nothing to be done for teardown.
[2025-12-20T17:29:08.629Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 17:29:08 2025 Epoch Time (ms): 1766251748303