renaissance-movie-lens_0
[2026-02-11T15:04:59.056Z] Running test renaissance-movie-lens_0 ...
[2026-02-11T15:04:59.056Z] ===============================================
[2026-02-11T15:04:59.056Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 15:04:58 2026 Epoch Time (ms): 1770822298128
[2026-02-11T15:04:59.056Z] variation: NoOptions
[2026-02-11T15:04:59.056Z] JVM_OPTIONS:
[2026-02-11T15:04:59.056Z] { \
[2026-02-11T15:04:59.056Z] echo ""; echo "TEST SETUP:"; \
[2026-02-11T15:04:59.056Z] echo "Nothing to be done for setup."; \
[2026-02-11T15:04:59.056Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708210734592/renaissance-movie-lens_0"; \
[2026-02-11T15:04:59.056Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708210734592/renaissance-movie-lens_0"; \
[2026-02-11T15:04:59.056Z] echo ""; echo "TESTING:"; \
[2026-02-11T15:04:59.056Z] "/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_17708210734592/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-11T15:04:59.056Z] 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_17708210734592/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-11T15:04:59.056Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-11T15:04:59.056Z] echo "Nothing to be done for teardown."; \
[2026-02-11T15:04:59.056Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708210734592/TestTargetResult";
[2026-02-11T15:04:59.056Z]
[2026-02-11T15:04:59.056Z] TEST SETUP:
[2026-02-11T15:04:59.056Z] Nothing to be done for setup.
[2026-02-11T15:04:59.056Z]
[2026-02-11T15:04:59.056Z] TESTING:
[2026-02-11T15:05:09.053Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-11T15:05:22.919Z] 15:05:20.903 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.
[2026-02-11T15:05:24.904Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-11T15:05:24.904Z] Training: 60056, validation: 20285, test: 19854
[2026-02-11T15:05:24.904Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-11T15:05:25.880Z] GC before operation: completed in 145.549 ms, heap usage 297.199 MB -> 76.096 MB.
[2026-02-11T15:05:35.721Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:05:41.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:05:46.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:05:51.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:05:53.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:05:56.405Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:05:58.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:06:01.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:06:01.446Z] 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.
[2026-02-11T15:06:01.446Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:06:01.446Z] Top recommended movies for user id 72:
[2026-02-11T15:06:01.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:06:01.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:06:01.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:06:01.446Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:06:01.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:06:01.446Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36338.081 ms) ======
[2026-02-11T15:06:01.446Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-11T15:06:02.410Z] GC before operation: completed in 190.138 ms, heap usage 710.369 MB -> 97.660 MB.
[2026-02-11T15:06:06.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:06:09.670Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:06:13.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:06:18.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:06:19.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:06:22.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:06:24.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:06:26.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:06:27.947Z] 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.
[2026-02-11T15:06:27.947Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:06:27.947Z] Top recommended movies for user id 72:
[2026-02-11T15:06:27.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:06:27.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:06:27.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:06:27.947Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:06:27.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:06:27.947Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26049.252 ms) ======
[2026-02-11T15:06:27.947Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-11T15:06:27.947Z] GC before operation: completed in 152.805 ms, heap usage 129.243 MB -> 88.753 MB.
[2026-02-11T15:06:32.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:06:35.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:06:39.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:06:42.882Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:06:44.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:06:46.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:06:48.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:06:51.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:06:51.909Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-11T15:06:51.909Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:06:51.909Z] Top recommended movies for user id 72:
[2026-02-11T15:06:51.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:06:51.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:06:51.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:06:51.909Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:06:51.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:06:51.909Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23826.958 ms) ======
[2026-02-11T15:06:51.909Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-11T15:06:51.909Z] GC before operation: completed in 161.449 ms, heap usage 217.447 MB -> 89.597 MB.
[2026-02-11T15:06:56.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:06:59.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:07:02.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:07:05.454Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:07:07.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:07:09.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:07:11.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:07:13.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:07:13.470Z] 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.
[2026-02-11T15:07:13.470Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:07:13.470Z] Top recommended movies for user id 72:
[2026-02-11T15:07:13.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:07:13.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:07:13.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:07:13.470Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:07:13.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:07:13.470Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21605.739 ms) ======
[2026-02-11T15:07:13.470Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-11T15:07:14.437Z] GC before operation: completed in 175.150 ms, heap usage 419.603 MB -> 90.148 MB.
[2026-02-11T15:07:17.500Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:07:20.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:07:23.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:07:26.679Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:07:28.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:07:30.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:07:32.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:07:34.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:07:34.330Z] 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.
[2026-02-11T15:07:34.330Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:07:35.298Z] Top recommended movies for user id 72:
[2026-02-11T15:07:35.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:07:35.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:07:35.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:07:35.298Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:07:35.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:07:35.298Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20943.360 ms) ======
[2026-02-11T15:07:35.298Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-11T15:07:35.298Z] GC before operation: completed in 153.617 ms, heap usage 178.490 MB -> 89.822 MB.
[2026-02-11T15:07:38.357Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:07:41.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:07:44.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:07:46.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:07:48.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:07:50.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:07:52.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:07:54.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:07:54.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-11T15:07:54.392Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:07:55.359Z] Top recommended movies for user id 72:
[2026-02-11T15:07:55.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:07:55.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:07:55.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:07:55.359Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:07:55.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:07:55.359Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19879.285 ms) ======
[2026-02-11T15:07:55.359Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-11T15:07:55.359Z] GC before operation: completed in 159.245 ms, heap usage 423.862 MB -> 90.510 MB.
[2026-02-11T15:07:58.417Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:08:01.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:08:04.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:08:06.514Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:08:08.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:08:10.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:08:12.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:08:14.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:08:14.435Z] 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.
[2026-02-11T15:08:14.435Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:08:14.435Z] Top recommended movies for user id 72:
[2026-02-11T15:08:14.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:08:14.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:08:14.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:08:14.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:08:14.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:08:14.436Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19469.916 ms) ======
[2026-02-11T15:08:14.436Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-11T15:08:14.436Z] GC before operation: completed in 162.513 ms, heap usage 310.674 MB -> 90.306 MB.
[2026-02-11T15:08:17.498Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:08:20.546Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:08:23.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:08:26.666Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:08:27.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:08:29.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:08:31.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:08:33.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:08:33.570Z] 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.
[2026-02-11T15:08:33.570Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:08:33.570Z] Top recommended movies for user id 72:
[2026-02-11T15:08:33.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:08:33.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:08:33.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:08:33.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:08:33.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:08:33.570Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18809.301 ms) ======
[2026-02-11T15:08:33.570Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-11T15:08:33.570Z] GC before operation: completed in 167.309 ms, heap usage 449.935 MB -> 90.675 MB.
[2026-02-11T15:08:36.624Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:08:39.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:08:43.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:08:45.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:08:46.489Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:08:48.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:08:50.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:08:52.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:08:52.478Z] 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.
[2026-02-11T15:08:52.478Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:08:52.478Z] Top recommended movies for user id 72:
[2026-02-11T15:08:52.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:08:52.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:08:52.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:08:52.478Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:08:52.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:08:52.478Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19230.245 ms) ======
[2026-02-11T15:08:52.478Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-11T15:08:53.461Z] GC before operation: completed in 159.152 ms, heap usage 393.956 MB -> 90.483 MB.
[2026-02-11T15:08:56.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:08:58.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:09:01.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:09:04.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:09:06.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:09:08.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:09:09.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:09:11.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:09:12.494Z] 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.
[2026-02-11T15:09:12.494Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:09:12.494Z] Top recommended movies for user id 72:
[2026-02-11T15:09:12.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:09:12.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:09:12.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:09:12.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:09:12.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:09:12.494Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19145.949 ms) ======
[2026-02-11T15:09:12.494Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-11T15:09:12.494Z] GC before operation: completed in 161.815 ms, heap usage 356.939 MB -> 90.668 MB.
[2026-02-11T15:09:15.542Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:09:18.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:09:21.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:09:23.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:09:25.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:09:27.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:09:29.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:09:31.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:09:31.552Z] 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.
[2026-02-11T15:09:31.552Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:09:31.552Z] Top recommended movies for user id 72:
[2026-02-11T15:09:31.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:09:31.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:09:31.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:09:31.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:09:31.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:09:31.552Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19252.461 ms) ======
[2026-02-11T15:09:31.552Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-11T15:09:31.552Z] GC before operation: completed in 167.699 ms, heap usage 123.511 MB -> 90.076 MB.
[2026-02-11T15:09:34.614Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:09:37.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:09:40.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:09:42.965Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:09:44.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:09:46.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:09:48.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:09:49.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:09:50.845Z] 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.
[2026-02-11T15:09:50.845Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:09:50.845Z] Top recommended movies for user id 72:
[2026-02-11T15:09:50.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:09:50.845Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:09:50.845Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:09:50.845Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:09:50.845Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:09:50.845Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19073.464 ms) ======
[2026-02-11T15:09:50.845Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-11T15:09:50.845Z] GC before operation: completed in 231.137 ms, heap usage 384.472 MB -> 90.680 MB.
[2026-02-11T15:09:54.614Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:09:57.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:10:01.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:10:04.957Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:10:06.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:10:08.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:10:10.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:10:12.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:10:13.850Z] 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.
[2026-02-11T15:10:13.850Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:10:13.850Z] Top recommended movies for user id 72:
[2026-02-11T15:10:13.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:10:13.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:10:13.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:10:13.850Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:10:13.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:10:13.850Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22710.177 ms) ======
[2026-02-11T15:10:13.850Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-11T15:10:13.850Z] GC before operation: completed in 189.480 ms, heap usage 455.395 MB -> 92.624 MB.
[2026-02-11T15:10:18.051Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:10:21.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:10:24.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:10:27.308Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:10:29.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:10:31.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:10:33.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:10:35.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:10:36.216Z] 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.
[2026-02-11T15:10:36.216Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:10:36.216Z] Top recommended movies for user id 72:
[2026-02-11T15:10:36.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:10:36.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:10:36.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:10:36.216Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:10:36.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:10:36.216Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22130.789 ms) ======
[2026-02-11T15:10:36.216Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-11T15:10:36.216Z] GC before operation: completed in 181.096 ms, heap usage 430.420 MB -> 90.572 MB.
[2026-02-11T15:10:39.285Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:10:43.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:10:46.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:10:49.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:10:51.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:10:54.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:10:56.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:10:58.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:10:59.564Z] 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.
[2026-02-11T15:10:59.564Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:10:59.564Z] Top recommended movies for user id 72:
[2026-02-11T15:10:59.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:10:59.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:10:59.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:10:59.564Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:10:59.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:10:59.564Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23091.405 ms) ======
[2026-02-11T15:10:59.564Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-11T15:10:59.564Z] GC before operation: completed in 180.793 ms, heap usage 107.731 MB -> 90.468 MB.
[2026-02-11T15:11:03.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:11:06.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:11:09.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:11:12.511Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:11:15.566Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:11:17.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:11:19.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:11:21.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:11:21.516Z] 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.
[2026-02-11T15:11:21.516Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:11:21.516Z] Top recommended movies for user id 72:
[2026-02-11T15:11:21.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:11:21.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:11:21.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:11:21.516Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:11:21.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:11:21.516Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22080.421 ms) ======
[2026-02-11T15:11:21.516Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-11T15:11:21.516Z] GC before operation: completed in 174.677 ms, heap usage 301.720 MB -> 90.625 MB.
[2026-02-11T15:11:25.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:11:28.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:11:31.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:11:34.912Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:11:36.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:11:38.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:11:40.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:11:42.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:11:42.976Z] 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.
[2026-02-11T15:11:42.976Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:11:43.950Z] Top recommended movies for user id 72:
[2026-02-11T15:11:43.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:11:43.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:11:43.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:11:43.950Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:11:43.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:11:43.950Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21684.927 ms) ======
[2026-02-11T15:11:43.950Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-11T15:11:43.950Z] GC before operation: completed in 199.683 ms, heap usage 410.288 MB -> 90.756 MB.
[2026-02-11T15:11:47.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:11:51.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:11:54.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:11:58.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:12:00.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:12:02.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:12:04.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:12:06.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:12:06.415Z] 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.
[2026-02-11T15:12:06.415Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:12:07.380Z] Top recommended movies for user id 72:
[2026-02-11T15:12:07.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:12:07.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:12:07.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:12:07.380Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:12:07.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:12:07.380Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23320.318 ms) ======
[2026-02-11T15:12:07.380Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-11T15:12:07.380Z] GC before operation: completed in 194.064 ms, heap usage 286.265 MB -> 90.487 MB.
[2026-02-11T15:12:10.432Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:12:14.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:12:18.035Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:12:21.091Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:12:23.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:12:25.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:12:27.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:12:29.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:12:29.968Z] 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.
[2026-02-11T15:12:29.968Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:12:29.968Z] Top recommended movies for user id 72:
[2026-02-11T15:12:29.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:12:29.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:12:29.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:12:29.968Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:12:29.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:12:29.968Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22613.833 ms) ======
[2026-02-11T15:12:29.968Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-11T15:12:29.968Z] GC before operation: completed in 194.140 ms, heap usage 268.980 MB -> 92.307 MB.
[2026-02-11T15:12:33.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-11T15:12:37.213Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-11T15:12:40.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-11T15:12:43.381Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-11T15:12:45.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-11T15:12:47.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-11T15:12:48.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-11T15:12:50.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-11T15:12:51.249Z] 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.
[2026-02-11T15:12:51.249Z] The best model improves the baseline by 14.52%.
[2026-02-11T15:12:51.249Z] Top recommended movies for user id 72:
[2026-02-11T15:12:51.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-11T15:12:51.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-11T15:12:51.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-11T15:12:51.249Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-11T15:12:51.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-11T15:12:51.249Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20887.780 ms) ======
[2026-02-11T15:12:52.211Z] -----------------------------------
[2026-02-11T15:12:52.211Z] renaissance-movie-lens_0_PASSED
[2026-02-11T15:12:52.211Z] -----------------------------------
[2026-02-11T15:12:52.211Z]
[2026-02-11T15:12:52.211Z] TEST TEARDOWN:
[2026-02-11T15:12:52.211Z] Nothing to be done for teardown.
[2026-02-11T15:12:52.211Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 15:12:51 2026 Epoch Time (ms): 1770822771576