renaissance-movie-lens_0
[2026-02-18T22:05:50.372Z] Running test renaissance-movie-lens_0 ...
[2026-02-18T22:05:50.372Z] ===============================================
[2026-02-18T22:05:50.372Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:05:49 2026 Epoch Time (ms): 1771452349526
[2026-02-18T22:05:50.372Z] variation: NoOptions
[2026-02-18T22:05:50.373Z] JVM_OPTIONS:
[2026-02-18T22:05:50.373Z] { \
[2026-02-18T22:05:50.373Z] echo ""; echo "TEST SETUP:"; \
[2026-02-18T22:05:50.373Z] echo "Nothing to be done for setup."; \
[2026-02-18T22:05:50.373Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714509076482/renaissance-movie-lens_0"; \
[2026-02-18T22:05:50.373Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714509076482/renaissance-movie-lens_0"; \
[2026-02-18T22:05:50.373Z] echo ""; echo "TESTING:"; \
[2026-02-18T22:05:50.373Z] "/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_17714509076482/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-18T22:05:50.373Z] 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_17714509076482/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-18T22:05:50.373Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-18T22:05:50.373Z] echo "Nothing to be done for teardown."; \
[2026-02-18T22:05:50.373Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714509076482/TestTargetResult";
[2026-02-18T22:05:50.373Z]
[2026-02-18T22:05:50.373Z] TEST SETUP:
[2026-02-18T22:05:50.373Z] Nothing to be done for setup.
[2026-02-18T22:05:50.373Z]
[2026-02-18T22:05:50.373Z] TESTING:
[2026-02-18T22:05:58.655Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-18T22:06:08.564Z] 22:06:08.220 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-18T22:06:11.666Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-18T22:06:12.640Z] Training: 60056, validation: 20285, test: 19854
[2026-02-18T22:06:12.640Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-18T22:06:12.640Z] GC before operation: completed in 174.502 ms, heap usage 426.574 MB -> 76.213 MB.
[2026-02-18T22:06:22.537Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:06:28.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:06:32.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:06:36.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:06:38.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:06:41.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:06:43.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:06:47.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:06:47.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-18T22:06:47.012Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:06:47.012Z] Top recommended movies for user id 72:
[2026-02-18T22:06:47.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:06:47.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:06:47.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:06:47.012Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:06:47.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:06:47.012Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34323.603 ms) ======
[2026-02-18T22:06:47.012Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-18T22:06:47.012Z] GC before operation: completed in 179.429 ms, heap usage 492.032 MB -> 90.766 MB.
[2026-02-18T22:06:51.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:06:55.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:06:59.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:07:04.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:07:06.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:07:08.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:07:11.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:07:13.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:07:14.174Z] 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.
[2026-02-18T22:07:14.174Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:07:14.174Z] Top recommended movies for user id 72:
[2026-02-18T22:07:14.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:07:14.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:07:14.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:07:14.174Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:07:14.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:07:14.174Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26778.775 ms) ======
[2026-02-18T22:07:14.174Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-18T22:07:14.174Z] GC before operation: completed in 160.870 ms, heap usage 294.093 MB -> 89.102 MB.
[2026-02-18T22:07:18.410Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:07:21.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:07:25.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:07:29.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:07:31.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:07:33.874Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:07:35.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:07:38.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:07:38.550Z] 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.
[2026-02-18T22:07:38.550Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:07:38.550Z] Top recommended movies for user id 72:
[2026-02-18T22:07:38.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:07:38.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:07:38.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:07:38.550Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:07:38.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:07:38.550Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24476.272 ms) ======
[2026-02-18T22:07:38.550Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-18T22:07:38.550Z] GC before operation: completed in 157.948 ms, heap usage 193.264 MB -> 89.656 MB.
[2026-02-18T22:07:42.739Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:07:45.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:07:48.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:07:52.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:07:54.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:07:56.612Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:07:58.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:08:00.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:08:01.519Z] 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.
[2026-02-18T22:08:01.519Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:08:01.519Z] Top recommended movies for user id 72:
[2026-02-18T22:08:01.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:08:01.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:08:01.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:08:01.519Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:08:01.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:08:01.519Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22403.316 ms) ======
[2026-02-18T22:08:01.519Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-18T22:08:01.519Z] GC before operation: completed in 159.731 ms, heap usage 434.315 MB -> 90.422 MB.
[2026-02-18T22:08:05.751Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:08:08.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:08:13.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:08:16.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:08:19.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:08:21.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:08:23.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:08:25.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:08:25.041Z] 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.
[2026-02-18T22:08:25.041Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:08:26.006Z] Top recommended movies for user id 72:
[2026-02-18T22:08:26.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:08:26.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:08:26.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:08:26.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:08:26.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:08:26.006Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24178.001 ms) ======
[2026-02-18T22:08:26.006Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-18T22:08:26.006Z] GC before operation: completed in 161.368 ms, heap usage 290.703 MB -> 90.120 MB.
[2026-02-18T22:08:30.262Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:08:33.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:08:36.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:08:39.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:08:41.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:08:43.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:08:45.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:08:48.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:08:48.157Z] 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.
[2026-02-18T22:08:48.157Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:08:48.157Z] Top recommended movies for user id 72:
[2026-02-18T22:08:48.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:08:48.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:08:48.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:08:48.157Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:08:48.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:08:48.157Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22643.513 ms) ======
[2026-02-18T22:08:48.157Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-18T22:08:49.111Z] GC before operation: completed in 163.554 ms, heap usage 331.274 MB -> 90.477 MB.
[2026-02-18T22:08:52.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:08:55.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:08:59.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:09:02.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:09:04.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:09:06.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:09:08.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:09:10.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:09:11.360Z] 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.
[2026-02-18T22:09:11.360Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:09:11.360Z] Top recommended movies for user id 72:
[2026-02-18T22:09:11.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:09:11.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:09:11.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:09:11.360Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:09:11.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:09:11.360Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22647.462 ms) ======
[2026-02-18T22:09:11.360Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-18T22:09:11.360Z] GC before operation: completed in 161.846 ms, heap usage 257.535 MB -> 90.373 MB.
[2026-02-18T22:09:15.558Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:09:18.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:09:21.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:09:24.692Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:09:27.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:09:28.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:09:31.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:09:32.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:09:33.665Z] 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.
[2026-02-18T22:09:33.665Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:09:33.665Z] Top recommended movies for user id 72:
[2026-02-18T22:09:33.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:09:33.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:09:33.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:09:33.665Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:09:33.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:09:33.665Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22319.282 ms) ======
[2026-02-18T22:09:33.665Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-18T22:09:33.665Z] GC before operation: completed in 158.903 ms, heap usage 98.849 MB -> 90.683 MB.
[2026-02-18T22:09:38.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:09:40.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:09:44.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:09:47.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:09:49.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:09:51.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:09:52.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:09:54.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:09:54.922Z] 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.
[2026-02-18T22:09:54.922Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:09:55.881Z] Top recommended movies for user id 72:
[2026-02-18T22:09:55.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:09:55.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:09:55.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:09:55.881Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:09:55.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:09:55.881Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21428.747 ms) ======
[2026-02-18T22:09:55.881Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-18T22:09:55.881Z] GC before operation: completed in 166.214 ms, heap usage 201.788 MB -> 90.367 MB.
[2026-02-18T22:09:58.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:10:02.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:10:06.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:10:09.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:10:11.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:10:13.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:10:15.267Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:10:17.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:10:17.242Z] 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.
[2026-02-18T22:10:17.242Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:10:17.242Z] Top recommended movies for user id 72:
[2026-02-18T22:10:17.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:10:17.242Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:10:17.242Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:10:17.242Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:10:17.242Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:10:17.242Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21915.070 ms) ======
[2026-02-18T22:10:17.242Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-18T22:10:17.242Z] GC before operation: completed in 166.962 ms, heap usage 207.058 MB -> 90.497 MB.
[2026-02-18T22:10:21.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:10:24.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:10:27.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:10:30.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:10:32.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:10:34.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:10:36.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:10:38.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:10:38.592Z] 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.
[2026-02-18T22:10:38.592Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:10:39.553Z] Top recommended movies for user id 72:
[2026-02-18T22:10:39.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:10:39.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:10:39.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:10:39.553Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:10:39.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:10:39.553Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21414.077 ms) ======
[2026-02-18T22:10:39.553Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-18T22:10:39.553Z] GC before operation: completed in 163.094 ms, heap usage 124.244 MB -> 91.955 MB.
[2026-02-18T22:10:42.600Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:10:45.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:10:48.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:10:51.811Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:10:53.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:10:56.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:10:58.453Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:11:00.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:11:00.429Z] 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.
[2026-02-18T22:11:00.429Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:11:00.429Z] Top recommended movies for user id 72:
[2026-02-18T22:11:00.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:11:00.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:11:00.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:11:00.429Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:11:00.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:11:00.429Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21481.024 ms) ======
[2026-02-18T22:11:00.429Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-18T22:11:01.395Z] GC before operation: completed in 162.547 ms, heap usage 176.412 MB -> 90.479 MB.
[2026-02-18T22:11:04.450Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:11:07.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:11:10.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:11:13.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:11:15.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:11:17.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:11:20.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:11:22.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:11:22.597Z] 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.
[2026-02-18T22:11:22.597Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:11:22.597Z] Top recommended movies for user id 72:
[2026-02-18T22:11:22.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:11:22.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:11:22.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:11:22.597Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:11:22.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:11:22.597Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21823.691 ms) ======
[2026-02-18T22:11:22.597Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-18T22:11:22.597Z] GC before operation: completed in 163.479 ms, heap usage 585.794 MB -> 94.274 MB.
[2026-02-18T22:11:26.796Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:11:29.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:11:32.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:11:35.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:11:36.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:11:38.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:11:40.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:11:42.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:11:42.841Z] 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.
[2026-02-18T22:11:43.806Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:11:43.806Z] Top recommended movies for user id 72:
[2026-02-18T22:11:43.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:11:43.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:11:43.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:11:43.806Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:11:43.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:11:43.806Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20652.007 ms) ======
[2026-02-18T22:11:43.806Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-18T22:11:43.806Z] GC before operation: completed in 176.322 ms, heap usage 463.320 MB -> 90.767 MB.
[2026-02-18T22:11:46.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:11:51.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:11:54.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:11:57.317Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:12:00.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:12:00.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:12:02.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:12:04.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:12:04.900Z] 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.
[2026-02-18T22:12:04.900Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:12:05.862Z] Top recommended movies for user id 72:
[2026-02-18T22:12:05.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:12:05.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:12:05.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:12:05.862Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:12:05.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:12:05.862Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21718.912 ms) ======
[2026-02-18T22:12:05.862Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-18T22:12:05.862Z] GC before operation: completed in 156.320 ms, heap usage 390.490 MB -> 91.046 MB.
[2026-02-18T22:12:08.904Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:12:11.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:12:14.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:12:18.039Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:12:20.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:12:22.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:12:23.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:12:26.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:12:26.000Z] 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.
[2026-02-18T22:12:26.000Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:12:26.958Z] Top recommended movies for user id 72:
[2026-02-18T22:12:26.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:12:26.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:12:26.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:12:26.958Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:12:26.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:12:26.958Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20921.332 ms) ======
[2026-02-18T22:12:26.958Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-18T22:12:26.958Z] GC before operation: completed in 160.418 ms, heap usage 356.524 MB -> 90.719 MB.
[2026-02-18T22:12:29.998Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:12:33.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:12:37.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:12:40.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:12:42.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:12:44.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:12:46.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:12:47.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:12:48.146Z] 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.
[2026-02-18T22:12:48.146Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:12:48.146Z] Top recommended movies for user id 72:
[2026-02-18T22:12:48.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:12:48.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:12:48.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:12:48.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:12:48.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:12:48.146Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21420.859 ms) ======
[2026-02-18T22:12:48.146Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-18T22:12:48.146Z] GC before operation: completed in 167.726 ms, heap usage 507.890 MB -> 91.085 MB.
[2026-02-18T22:12:51.202Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:12:55.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:12:58.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:13:02.201Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:13:03.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:13:05.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:13:07.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:13:09.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:13:09.299Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-18T22:13:09.299Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:13:10.275Z] Top recommended movies for user id 72:
[2026-02-18T22:13:10.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:13:10.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:13:10.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:13:10.275Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:13:10.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:13:10.275Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21554.075 ms) ======
[2026-02-18T22:13:10.275Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-18T22:13:10.275Z] GC before operation: completed in 160.626 ms, heap usage 262.004 MB -> 90.526 MB.
[2026-02-18T22:13:13.315Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:13:16.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:13:19.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:13:22.450Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:13:24.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:13:26.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:13:29.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:13:30.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:13:31.409Z] 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.
[2026-02-18T22:13:31.409Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:13:31.409Z] Top recommended movies for user id 72:
[2026-02-18T22:13:31.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:13:31.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:13:31.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:13:31.409Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:13:31.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:13:31.409Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21527.739 ms) ======
[2026-02-18T22:13:31.409Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-18T22:13:31.409Z] GC before operation: completed in 156.552 ms, heap usage 432.189 MB -> 90.905 MB.
[2026-02-18T22:13:35.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T22:13:38.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T22:13:41.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T22:13:44.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T22:13:46.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T22:13:48.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T22:13:50.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T22:13:52.648Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T22:13:53.608Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-18T22:13:53.608Z] The best model improves the baseline by 14.52%.
[2026-02-18T22:13:53.608Z] Top recommended movies for user id 72:
[2026-02-18T22:13:53.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T22:13:53.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T22:13:53.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T22:13:53.608Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T22:13:53.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T22:13:53.608Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21874.697 ms) ======
[2026-02-18T22:13:54.564Z] -----------------------------------
[2026-02-18T22:13:54.564Z] renaissance-movie-lens_0_PASSED
[2026-02-18T22:13:54.564Z] -----------------------------------
[2026-02-18T22:13:54.564Z]
[2026-02-18T22:13:54.564Z] TEST TEARDOWN:
[2026-02-18T22:13:54.564Z] Nothing to be done for teardown.
[2026-02-18T22:13:54.564Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:13:54 2026 Epoch Time (ms): 1771452834290