renaissance-movie-lens_0
[2025-12-06T14:30:20.842Z] Running test renaissance-movie-lens_0 ...
[2025-12-06T14:30:20.842Z] ===============================================
[2025-12-06T14:30:20.842Z] renaissance-movie-lens_0 Start Time: Sat Dec 6 14:30:20 2025 Epoch Time (ms): 1765031420140
[2025-12-06T14:30:20.842Z] variation: NoOptions
[2025-12-06T14:30:20.842Z] JVM_OPTIONS:
[2025-12-06T14:30:20.842Z] { \
[2025-12-06T14:30:20.842Z] echo ""; echo "TEST SETUP:"; \
[2025-12-06T14:30:20.842Z] echo "Nothing to be done for setup."; \
[2025-12-06T14:30:20.842Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17650302696965/renaissance-movie-lens_0"; \
[2025-12-06T14:30:20.842Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17650302696965/renaissance-movie-lens_0"; \
[2025-12-06T14:30:20.842Z] echo ""; echo "TESTING:"; \
[2025-12-06T14:30:20.842Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17650302696965/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-06T14:30:20.842Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17650302696965/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-06T14:30:20.842Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-06T14:30:20.842Z] echo "Nothing to be done for teardown."; \
[2025-12-06T14:30:20.842Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17650302696965/TestTargetResult";
[2025-12-06T14:30:20.842Z]
[2025-12-06T14:30:20.842Z] TEST SETUP:
[2025-12-06T14:30:20.842Z] Nothing to be done for setup.
[2025-12-06T14:30:20.842Z]
[2025-12-06T14:30:20.842Z] TESTING:
[2025-12-06T14:30:21.801Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-06T14:30:21.801Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17650302696965/renaissance-movie-lens_0/launcher-143020-14356833227843679445/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-06T14:30:21.801Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-06T14:30:21.801Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-06T14:30:27.217Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-06T14:30:38.911Z] 14:30:38.662 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-06T14:30:41.586Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-06T14:30:42.552Z] Training: 60056, validation: 20285, test: 19854
[2025-12-06T14:30:42.552Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-06T14:30:42.552Z] GC before operation: completed in 103.100 ms, heap usage 242.077 MB -> 75.668 MB.
[2025-12-06T14:30:49.305Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:30:53.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:30:57.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:31:00.926Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:31:02.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:31:04.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:31:06.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:31:07.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:31:08.767Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:31:08.767Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:31:08.767Z] Top recommended movies for user id 72:
[2025-12-06T14:31:08.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:31:08.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:31:08.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:31:08.767Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:31:08.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:31:08.767Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26181.351 ms) ======
[2025-12-06T14:31:08.767Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-06T14:31:08.767Z] GC before operation: completed in 129.113 ms, heap usage 280.907 MB -> 87.525 MB.
[2025-12-06T14:31:11.811Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:31:15.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:31:18.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:31:20.052Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:31:22.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:31:23.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:31:24.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:31:26.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:31:26.936Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:31:26.936Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:31:26.936Z] Top recommended movies for user id 72:
[2025-12-06T14:31:26.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:31:26.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:31:26.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:31:26.937Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:31:26.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:31:26.937Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18077.829 ms) ======
[2025-12-06T14:31:26.937Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-06T14:31:26.937Z] GC before operation: completed in 123.057 ms, heap usage 737.249 MB -> 92.353 MB.
[2025-12-06T14:31:29.986Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:31:31.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:31:35.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:31:36.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:31:38.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:31:39.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:31:41.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:31:42.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:31:42.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:31:43.510Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:31:43.510Z] Top recommended movies for user id 72:
[2025-12-06T14:31:43.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:31:43.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:31:43.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:31:43.510Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:31:43.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:31:43.510Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16155.741 ms) ======
[2025-12-06T14:31:43.510Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-06T14:31:43.510Z] GC before operation: completed in 138.362 ms, heap usage 201.045 MB -> 89.058 MB.
[2025-12-06T14:31:45.480Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:31:48.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:31:50.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:31:52.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:31:54.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:31:55.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:31:57.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:31:58.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:31:58.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:31:58.322Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:31:59.283Z] Top recommended movies for user id 72:
[2025-12-06T14:31:59.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:31:59.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:31:59.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:31:59.283Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:31:59.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:31:59.283Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15499.587 ms) ======
[2025-12-06T14:31:59.283Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-06T14:31:59.283Z] GC before operation: completed in 132.746 ms, heap usage 275.697 MB -> 89.485 MB.
[2025-12-06T14:32:01.251Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:32:03.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:32:06.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:32:09.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:32:10.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:32:12.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:32:13.212Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:32:15.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:32:15.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:32:15.183Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:32:15.183Z] Top recommended movies for user id 72:
[2025-12-06T14:32:15.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:32:15.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:32:15.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:32:15.183Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:32:15.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:32:15.183Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16349.441 ms) ======
[2025-12-06T14:32:15.183Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-06T14:32:15.183Z] GC before operation: completed in 124.618 ms, heap usage 430.940 MB -> 89.646 MB.
[2025-12-06T14:32:18.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:32:21.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:32:23.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:32:25.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:32:26.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:32:27.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:32:29.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:32:30.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:32:30.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:32:30.480Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:32:31.436Z] Top recommended movies for user id 72:
[2025-12-06T14:32:31.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:32:31.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:32:31.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:32:31.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:32:31.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:32:31.436Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15575.876 ms) ======
[2025-12-06T14:32:31.436Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-06T14:32:31.436Z] GC before operation: completed in 138.165 ms, heap usage 531.990 MB -> 93.244 MB.
[2025-12-06T14:32:33.406Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:32:35.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:32:38.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:32:40.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:32:41.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:32:43.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:32:44.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:32:46.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:32:46.347Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:32:46.347Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:32:46.347Z] Top recommended movies for user id 72:
[2025-12-06T14:32:46.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:32:46.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:32:46.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:32:46.347Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:32:46.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:32:46.347Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15225.165 ms) ======
[2025-12-06T14:32:46.347Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-06T14:32:46.347Z] GC before operation: completed in 126.800 ms, heap usage 457.002 MB -> 89.883 MB.
[2025-12-06T14:32:49.388Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:32:51.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:32:53.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:32:55.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:32:57.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:32:58.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:33:00.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:33:01.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:33:01.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:33:01.158Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:33:02.115Z] Top recommended movies for user id 72:
[2025-12-06T14:33:02.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:33:02.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:33:02.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:33:02.115Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:33:02.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:33:02.115Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15238.508 ms) ======
[2025-12-06T14:33:02.115Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-06T14:33:02.115Z] GC before operation: completed in 122.159 ms, heap usage 361.308 MB -> 89.926 MB.
[2025-12-06T14:33:04.083Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:33:07.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:33:09.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:33:11.046Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:33:13.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:33:13.971Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:33:16.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:33:16.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:33:17.628Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:33:17.628Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:33:17.628Z] Top recommended movies for user id 72:
[2025-12-06T14:33:17.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:33:17.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:33:17.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:33:17.628Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:33:17.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:33:17.628Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15587.245 ms) ======
[2025-12-06T14:33:17.628Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-06T14:33:17.628Z] GC before operation: completed in 180.879 ms, heap usage 490.131 MB -> 90.053 MB.
[2025-12-06T14:33:19.592Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:33:22.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:33:24.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:33:27.643Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:33:28.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:33:29.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:33:31.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:33:32.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:33:33.456Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:33:33.456Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:33:33.456Z] Top recommended movies for user id 72:
[2025-12-06T14:33:33.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:33:33.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:33:33.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:33:33.456Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:33:33.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:33:33.456Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15561.808 ms) ======
[2025-12-06T14:33:33.456Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-06T14:33:33.456Z] GC before operation: completed in 128.281 ms, heap usage 207.844 MB -> 89.836 MB.
[2025-12-06T14:33:35.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:33:37.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:33:40.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:33:42.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:33:43.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:33:45.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:33:46.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:33:48.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:33:48.346Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:33:48.346Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:33:48.346Z] Top recommended movies for user id 72:
[2025-12-06T14:33:48.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:33:48.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:33:48.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:33:48.346Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:33:48.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:33:48.346Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14799.253 ms) ======
[2025-12-06T14:33:48.346Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-06T14:33:48.346Z] GC before operation: completed in 125.619 ms, heap usage 250.569 MB -> 89.668 MB.
[2025-12-06T14:33:50.316Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:33:53.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:33:55.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:33:57.366Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:33:58.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:34:00.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:34:01.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:34:02.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:34:02.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:34:02.762Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:34:02.762Z] Top recommended movies for user id 72:
[2025-12-06T14:34:02.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:34:02.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:34:02.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:34:02.762Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:34:02.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:34:02.762Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14804.633 ms) ======
[2025-12-06T14:34:02.762Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-06T14:34:02.762Z] GC before operation: completed in 138.928 ms, heap usage 262.837 MB -> 89.872 MB.
[2025-12-06T14:34:05.800Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:34:07.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:34:09.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:34:12.796Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:34:13.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:34:14.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:34:16.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:34:17.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:34:17.640Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:34:17.640Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:34:17.640Z] Top recommended movies for user id 72:
[2025-12-06T14:34:17.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:34:17.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:34:17.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:34:17.640Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:34:17.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:34:17.640Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14753.583 ms) ======
[2025-12-06T14:34:17.640Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-06T14:34:17.640Z] GC before operation: completed in 155.243 ms, heap usage 424.972 MB -> 90.265 MB.
[2025-12-06T14:34:20.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:34:22.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:34:25.693Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:34:27.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:34:28.625Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:34:29.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:34:31.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:34:32.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:34:32.512Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:34:32.512Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:34:32.512Z] Top recommended movies for user id 72:
[2025-12-06T14:34:32.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:34:32.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:34:32.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:34:32.513Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:34:32.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:34:32.513Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14499.795 ms) ======
[2025-12-06T14:34:32.513Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-06T14:34:32.513Z] GC before operation: completed in 129.442 ms, heap usage 209.892 MB -> 89.730 MB.
[2025-12-06T14:34:35.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:34:37.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:34:39.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:34:41.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:34:42.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:34:44.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:34:45.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:34:46.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:34:47.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:34:47.265Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:34:47.265Z] Top recommended movies for user id 72:
[2025-12-06T14:34:47.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:34:47.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:34:47.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:34:47.266Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:34:47.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:34:47.266Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14247.053 ms) ======
[2025-12-06T14:34:47.266Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-06T14:34:47.266Z] GC before operation: completed in 127.372 ms, heap usage 221.177 MB -> 90.026 MB.
[2025-12-06T14:34:49.246Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:34:51.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:34:54.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:34:55.929Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:34:56.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:34:58.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:34:59.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:35:01.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:35:01.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:35:01.804Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:35:01.804Z] Top recommended movies for user id 72:
[2025-12-06T14:35:01.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:35:01.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:35:01.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:35:01.804Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:35:01.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:35:01.804Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14962.452 ms) ======
[2025-12-06T14:35:01.804Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-06T14:35:01.804Z] GC before operation: completed in 124.929 ms, heap usage 183.119 MB -> 89.857 MB.
[2025-12-06T14:35:04.842Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:35:06.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:35:09.870Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:35:11.838Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:35:12.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:35:14.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:35:15.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:35:17.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:35:17.712Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:35:17.712Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:35:17.712Z] Top recommended movies for user id 72:
[2025-12-06T14:35:17.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:35:17.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:35:17.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:35:17.712Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:35:17.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:35:17.712Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15682.047 ms) ======
[2025-12-06T14:35:17.712Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-06T14:35:17.712Z] GC before operation: completed in 221.361 ms, heap usage 225.357 MB -> 89.998 MB.
[2025-12-06T14:35:20.759Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:35:22.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:35:25.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:35:27.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:35:28.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:35:30.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:35:31.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:35:33.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:35:33.612Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:35:33.612Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:35:33.612Z] Top recommended movies for user id 72:
[2025-12-06T14:35:33.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:35:33.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:35:33.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:35:33.612Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:35:33.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:35:33.612Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15706.415 ms) ======
[2025-12-06T14:35:33.612Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-06T14:35:33.612Z] GC before operation: completed in 137.444 ms, heap usage 284.188 MB -> 89.848 MB.
[2025-12-06T14:35:36.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:35:38.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:35:40.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:35:42.567Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:35:43.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:35:45.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:35:46.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:35:47.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:35:47.822Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:35:47.822Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:35:47.822Z] Top recommended movies for user id 72:
[2025-12-06T14:35:47.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:35:47.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:35:47.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:35:47.822Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:35:47.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:35:47.822Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14197.971 ms) ======
[2025-12-06T14:35:47.822Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-06T14:35:47.822Z] GC before operation: completed in 131.470 ms, heap usage 518.972 MB -> 90.353 MB.
[2025-12-06T14:35:50.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-06T14:35:52.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-06T14:35:54.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-06T14:35:56.799Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-06T14:35:58.771Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-06T14:35:59.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-06T14:36:00.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-06T14:36:02.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-06T14:36:02.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-06T14:36:02.864Z] The best model improves the baseline by 14.52%.
[2025-12-06T14:36:02.864Z] Top recommended movies for user id 72:
[2025-12-06T14:36:02.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-06T14:36:02.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-06T14:36:02.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-06T14:36:02.864Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-06T14:36:02.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-06T14:36:02.864Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14346.666 ms) ======
[2025-12-06T14:36:02.864Z] -----------------------------------
[2025-12-06T14:36:02.864Z] renaissance-movie-lens_0_PASSED
[2025-12-06T14:36:02.864Z] -----------------------------------
[2025-12-06T14:36:02.864Z]
[2025-12-06T14:36:02.864Z] TEST TEARDOWN:
[2025-12-06T14:36:02.864Z] Nothing to be done for teardown.
[2025-12-06T14:36:02.864Z] renaissance-movie-lens_0 Finish Time: Sat Dec 6 14:36:02 2025 Epoch Time (ms): 1765031762758