renaissance-movie-lens_0
[2025-05-29T22:02:46.184Z] Running test renaissance-movie-lens_0 ...
[2025-05-29T22:02:46.184Z] ===============================================
[2025-05-29T22:02:46.184Z] renaissance-movie-lens_0 Start Time: Thu May 29 22:02:45 2025 Epoch Time (ms): 1748556165684
[2025-05-29T22:02:46.184Z] variation: NoOptions
[2025-05-29T22:02:46.184Z] JVM_OPTIONS:
[2025-05-29T22:02:46.184Z] { \
[2025-05-29T22:02:46.184Z] echo ""; echo "TEST SETUP:"; \
[2025-05-29T22:02:46.184Z] echo "Nothing to be done for setup."; \
[2025-05-29T22:02:46.184Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17485553012926/renaissance-movie-lens_0"; \
[2025-05-29T22:02:46.184Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17485553012926/renaissance-movie-lens_0"; \
[2025-05-29T22:02:46.184Z] echo ""; echo "TESTING:"; \
[2025-05-29T22:02:46.184Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17485553012926/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-29T22:02:46.184Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17485553012926/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-29T22:02:46.184Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-29T22:02:46.184Z] echo "Nothing to be done for teardown."; \
[2025-05-29T22:02:46.184Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17485553012926/TestTargetResult";
[2025-05-29T22:02:46.184Z]
[2025-05-29T22:02:46.184Z] TEST SETUP:
[2025-05-29T22:02:46.184Z] Nothing to be done for setup.
[2025-05-29T22:02:46.184Z]
[2025-05-29T22:02:46.184Z] TESTING:
[2025-05-29T22:02:47.124Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-05-29T22:02:47.124Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17485553012926/renaissance-movie-lens_0/launcher-220245-3581329841383254650/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-05-29T22:02:47.124Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-05-29T22:02:47.124Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-05-29T22:02:51.225Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-29T22:02:59.309Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-29T22:02:59.309Z] Training: 60056, validation: 20285, test: 19854
[2025-05-29T22:02:59.309Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-29T22:02:59.309Z] GC before operation: completed in 89.368 ms, heap usage 309.208 MB -> 76.481 MB.
[2025-05-29T22:03:03.412Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:03:05.454Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:03:08.436Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:03:10.373Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:03:11.313Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:03:13.944Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:03:14.891Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:03:15.831Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:03:15.831Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:03:15.831Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:03:15.831Z] Top recommended movies for user id 72:
[2025-05-29T22:03:15.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:03:15.831Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:03:15.831Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:03:15.831Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:03:15.831Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:03:15.831Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (16725.893 ms) ======
[2025-05-29T22:03:15.831Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-29T22:03:15.831Z] GC before operation: completed in 110.707 ms, heap usage 477.081 MB -> 89.377 MB.
[2025-05-29T22:03:17.770Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:03:19.713Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:03:21.640Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:03:23.571Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:03:24.682Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:03:25.620Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:03:26.560Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:03:27.546Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:03:28.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:03:28.490Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:03:28.490Z] Top recommended movies for user id 72:
[2025-05-29T22:03:28.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:03:28.490Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:03:28.490Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:03:28.490Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:03:28.490Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:03:28.490Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12315.865 ms) ======
[2025-05-29T22:03:28.490Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-29T22:03:28.490Z] GC before operation: completed in 130.754 ms, heap usage 1.019 GB -> 94.849 MB.
[2025-05-29T22:03:30.422Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:03:32.353Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:03:34.282Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:03:36.213Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:03:37.154Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:03:38.096Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:03:40.027Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:03:40.969Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:03:40.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:03:40.969Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:03:40.969Z] Top recommended movies for user id 72:
[2025-05-29T22:03:40.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:03:40.969Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:03:40.969Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:03:40.969Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:03:40.969Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:03:40.969Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12696.983 ms) ======
[2025-05-29T22:03:40.969Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-29T22:03:40.969Z] GC before operation: completed in 102.267 ms, heap usage 188.692 MB -> 91.386 MB.
[2025-05-29T22:03:42.900Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:03:44.830Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:03:46.760Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:03:48.693Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:03:49.634Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:03:50.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:03:51.514Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:03:53.447Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:03:53.447Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:03:53.447Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:03:53.447Z] Top recommended movies for user id 72:
[2025-05-29T22:03:53.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:03:53.447Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:03:53.447Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:03:53.447Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:03:53.447Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:03:53.447Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12170.570 ms) ======
[2025-05-29T22:03:53.447Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-29T22:03:53.447Z] GC before operation: completed in 104.992 ms, heap usage 286.426 MB -> 91.750 MB.
[2025-05-29T22:03:55.377Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:03:57.307Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:03:59.240Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:04:00.181Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:04:02.148Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:04:03.087Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:04:04.028Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:04:04.968Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:04:04.968Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:04:04.968Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:04:04.968Z] Top recommended movies for user id 72:
[2025-05-29T22:04:04.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:04:04.968Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:04:04.968Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:04:04.968Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:04:04.968Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:04:04.968Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11801.168 ms) ======
[2025-05-29T22:04:04.968Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-29T22:04:04.968Z] GC before operation: completed in 101.282 ms, heap usage 146.010 MB -> 91.557 MB.
[2025-05-29T22:04:07.057Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:04:08.987Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:04:11.303Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:04:12.243Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:04:13.185Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:04:15.119Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:04:16.059Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:04:16.999Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:04:16.999Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:04:16.999Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:04:16.999Z] Top recommended movies for user id 72:
[2025-05-29T22:04:16.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:04:16.999Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:04:16.999Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:04:16.999Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:04:16.999Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:04:16.999Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11998.655 ms) ======
[2025-05-29T22:04:16.999Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-29T22:04:16.999Z] GC before operation: completed in 105.656 ms, heap usage 116.849 MB -> 91.726 MB.
[2025-05-29T22:04:19.985Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:04:20.924Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:04:22.855Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:04:24.786Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:04:25.726Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:04:26.666Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:04:28.596Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:04:29.537Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:04:30.482Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:04:30.482Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:04:30.482Z] Top recommended movies for user id 72:
[2025-05-29T22:04:30.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:04:30.482Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:04:30.482Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:04:30.482Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:04:30.482Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:04:30.482Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12929.156 ms) ======
[2025-05-29T22:04:30.482Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-29T22:04:30.482Z] GC before operation: completed in 122.481 ms, heap usage 150.800 MB -> 91.749 MB.
[2025-05-29T22:04:33.477Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:04:35.417Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:04:37.359Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:04:40.350Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:04:41.291Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:04:43.221Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:04:45.155Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:04:46.096Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:04:46.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:04:46.096Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:04:47.037Z] Top recommended movies for user id 72:
[2025-05-29T22:04:47.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:04:47.037Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:04:47.037Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:04:47.037Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:04:47.037Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:04:47.037Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16218.095 ms) ======
[2025-05-29T22:04:47.037Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-29T22:04:47.037Z] GC before operation: completed in 117.617 ms, heap usage 265.411 MB -> 92.100 MB.
[2025-05-29T22:04:48.968Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:04:51.956Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:04:53.893Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:04:56.893Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:04:57.837Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:04:58.780Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:05:00.737Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:05:01.677Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:05:01.677Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:05:01.677Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:05:01.677Z] Top recommended movies for user id 72:
[2025-05-29T22:05:01.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:05:01.677Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:05:01.677Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:05:01.677Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:05:01.677Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:05:01.677Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14944.314 ms) ======
[2025-05-29T22:05:01.677Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-29T22:05:01.677Z] GC before operation: completed in 119.335 ms, heap usage 507.818 MB -> 92.247 MB.
[2025-05-29T22:05:04.657Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:05:06.638Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:05:09.619Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:05:11.548Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:05:12.489Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:05:14.686Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:05:14.686Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:05:14.686Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:05:19.628Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:05:19.628Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:05:19.628Z] Top recommended movies for user id 72:
[2025-05-29T22:05:19.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:05:19.628Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:05:19.628Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:05:19.628Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:05:19.628Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:05:19.628Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13430.671 ms) ======
[2025-05-29T22:05:19.628Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-29T22:05:19.628Z] GC before operation: completed in 129.951 ms, heap usage 818.082 MB -> 96.170 MB.
[2025-05-29T22:05:19.628Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:05:19.628Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:05:21.560Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:05:23.438Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:05:24.379Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:05:26.311Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:05:27.353Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:05:28.326Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:05:29.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:05:29.267Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:05:29.267Z] Top recommended movies for user id 72:
[2025-05-29T22:05:29.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:05:29.267Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:05:29.267Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:05:29.267Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:05:29.267Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:05:29.267Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13573.801 ms) ======
[2025-05-29T22:05:29.267Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-29T22:05:29.267Z] GC before operation: completed in 109.491 ms, heap usage 856.584 MB -> 95.720 MB.
[2025-05-29T22:05:31.197Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:05:32.138Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:05:34.067Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:05:35.007Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:05:35.947Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:05:36.887Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:05:37.829Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:05:38.769Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:05:39.711Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:05:39.711Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:05:39.711Z] Top recommended movies for user id 72:
[2025-05-29T22:05:39.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:05:39.711Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:05:39.711Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:05:39.711Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:05:39.711Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:05:39.711Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10254.595 ms) ======
[2025-05-29T22:05:39.711Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-29T22:05:39.711Z] GC before operation: completed in 114.712 ms, heap usage 1.238 GB -> 96.876 MB.
[2025-05-29T22:05:41.643Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:05:42.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:05:44.513Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:05:46.443Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:05:47.383Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:05:48.324Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:05:50.258Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:05:51.198Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:05:51.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:05:51.199Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:05:51.199Z] Top recommended movies for user id 72:
[2025-05-29T22:05:51.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:05:51.199Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:05:51.199Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:05:51.199Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:05:51.199Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:05:51.199Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11741.692 ms) ======
[2025-05-29T22:05:51.199Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-29T22:05:51.199Z] GC before operation: completed in 125.684 ms, heap usage 369.287 MB -> 92.411 MB.
[2025-05-29T22:05:53.128Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:05:55.088Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:05:57.018Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:05:57.957Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:05:59.910Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:06:00.857Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:06:01.798Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:06:02.737Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:06:02.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:06:02.738Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:06:03.679Z] Top recommended movies for user id 72:
[2025-05-29T22:06:03.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:06:03.679Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:06:03.679Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:06:03.679Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:06:03.679Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:06:03.679Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11857.654 ms) ======
[2025-05-29T22:06:03.679Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-29T22:06:03.679Z] GC before operation: completed in 109.715 ms, heap usage 213.049 MB -> 92.204 MB.
[2025-05-29T22:06:05.661Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:06:06.601Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:06:08.532Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:06:10.463Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:06:11.402Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:06:12.343Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:06:14.274Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:06:15.214Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:06:15.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:06:15.214Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:06:15.214Z] Top recommended movies for user id 72:
[2025-05-29T22:06:15.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:06:15.214Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:06:15.214Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:06:15.214Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:06:15.214Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:06:15.214Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11950.766 ms) ======
[2025-05-29T22:06:15.214Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-29T22:06:15.214Z] GC before operation: completed in 107.513 ms, heap usage 117.076 MB -> 92.119 MB.
[2025-05-29T22:06:17.146Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:06:19.077Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:06:20.707Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:06:23.692Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:06:24.632Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:06:25.573Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:06:27.503Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:06:29.441Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:06:29.441Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:06:29.441Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:06:29.441Z] Top recommended movies for user id 72:
[2025-05-29T22:06:29.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:06:29.441Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:06:29.441Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:06:29.441Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:06:29.441Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:06:29.441Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14247.431 ms) ======
[2025-05-29T22:06:29.441Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-29T22:06:29.441Z] GC before operation: completed in 140.158 ms, heap usage 267.111 MB -> 92.113 MB.
[2025-05-29T22:06:32.425Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:06:35.408Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:06:37.341Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:06:40.323Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:06:41.264Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:06:43.197Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:06:44.138Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:06:46.069Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:06:46.069Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:06:46.069Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:06:46.070Z] Top recommended movies for user id 72:
[2025-05-29T22:06:46.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:06:46.070Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:06:46.070Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:06:46.070Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:06:46.070Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:06:46.070Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16363.845 ms) ======
[2025-05-29T22:06:46.070Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-29T22:06:46.070Z] GC before operation: completed in 134.166 ms, heap usage 717.127 MB -> 96.099 MB.
[2025-05-29T22:06:49.052Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:06:50.984Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:06:53.967Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:06:55.899Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:06:56.839Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:06:58.774Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:06:59.714Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:07:00.656Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:07:01.594Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:07:01.594Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:07:01.594Z] Top recommended movies for user id 72:
[2025-05-29T22:07:01.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:07:01.594Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:07:01.594Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:07:01.594Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:07:01.594Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:07:01.594Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15171.815 ms) ======
[2025-05-29T22:07:01.594Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-29T22:07:01.594Z] GC before operation: completed in 129.295 ms, heap usage 569.773 MB -> 92.307 MB.
[2025-05-29T22:07:03.527Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:07:05.499Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:07:08.482Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:07:10.415Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:07:11.357Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:07:12.298Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:07:14.229Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:07:14.229Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:07:15.171Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:07:15.171Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:07:15.171Z] Top recommended movies for user id 72:
[2025-05-29T22:07:15.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:07:15.171Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:07:15.171Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:07:15.171Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:07:15.171Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:07:15.171Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13313.480 ms) ======
[2025-05-29T22:07:15.171Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-29T22:07:15.171Z] GC before operation: completed in 126.701 ms, heap usage 1.263 GB -> 96.991 MB.
[2025-05-29T22:07:17.102Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T22:07:18.042Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T22:07:19.972Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T22:07:21.354Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T22:07:22.295Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T22:07:24.227Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T22:07:25.168Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T22:07:26.109Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T22:07:26.109Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T22:07:26.109Z] The best model improves the baseline by 14.43%.
[2025-05-29T22:07:26.109Z] Top recommended movies for user id 72:
[2025-05-29T22:07:26.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T22:07:26.109Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T22:07:26.109Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T22:07:26.109Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T22:07:26.109Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T22:07:26.109Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11295.655 ms) ======
[2025-05-29T22:07:27.049Z] -----------------------------------
[2025-05-29T22:07:27.049Z] renaissance-movie-lens_0_PASSED
[2025-05-29T22:07:27.049Z] -----------------------------------
[2025-05-29T22:07:27.049Z]
[2025-05-29T22:07:27.049Z] TEST TEARDOWN:
[2025-05-29T22:07:27.049Z] Nothing to be done for teardown.
[2025-05-29T22:07:27.049Z] renaissance-movie-lens_0 Finish Time: Thu May 29 22:07:26 2025 Epoch Time (ms): 1748556446735