renaissance-movie-lens_0
[2025-10-16T04:16:21.109Z] Running test renaissance-movie-lens_0 ...
[2025-10-16T04:16:21.109Z] ===============================================
[2025-10-16T04:16:21.109Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 04:16:20 2025 Epoch Time (ms): 1760588180828
[2025-10-16T04:16:21.109Z] variation: NoOptions
[2025-10-16T04:16:21.109Z] JVM_OPTIONS:
[2025-10-16T04:16:21.109Z] { \
[2025-10-16T04:16:21.109Z] echo ""; echo "TEST SETUP:"; \
[2025-10-16T04:16:21.109Z] echo "Nothing to be done for setup."; \
[2025-10-16T04:16:21.109Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17605868761250/renaissance-movie-lens_0"; \
[2025-10-16T04:16:21.109Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17605868761250/renaissance-movie-lens_0"; \
[2025-10-16T04:16:21.109Z] echo ""; echo "TESTING:"; \
[2025-10-16T04:16:21.109Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17605868761250/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-16T04:16:21.109Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17605868761250/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-16T04:16:21.109Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-16T04:16:21.110Z] echo "Nothing to be done for teardown."; \
[2025-10-16T04:16:21.110Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17605868761250/TestTargetResult";
[2025-10-16T04:16:21.110Z]
[2025-10-16T04:16:21.110Z] TEST SETUP:
[2025-10-16T04:16:21.110Z] Nothing to be done for setup.
[2025-10-16T04:16:21.110Z]
[2025-10-16T04:16:21.110Z] TESTING:
[2025-10-16T04:16:21.858Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-16T04:16:21.858Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17605868761250/renaissance-movie-lens_0/launcher-041620-11921970710851145973/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-16T04:16:21.858Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-16T04:16:21.858Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-16T04:16:26.217Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-16T04:16:35.916Z] 04:16:35.160 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.
[2025-10-16T04:16:37.477Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-16T04:16:38.233Z] Training: 60056, validation: 20285, test: 19854
[2025-10-16T04:16:38.233Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-16T04:16:38.233Z] GC before operation: completed in 148.734 ms, heap usage 276.787 MB -> 75.697 MB.
[2025-10-16T04:16:45.004Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:16:50.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:16:53.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:16:56.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:16:58.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:17:00.869Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:17:02.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:17:04.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:17:04.010Z] 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.
[2025-10-16T04:17:04.010Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:17:04.767Z] Top recommended movies for user id 72:
[2025-10-16T04:17:04.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:17:04.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:17:04.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:17:04.767Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:17:04.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:17:04.767Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26088.861 ms) ======
[2025-10-16T04:17:04.767Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-16T04:17:04.767Z] GC before operation: completed in 126.757 ms, heap usage 141.119 MB -> 86.268 MB.
[2025-10-16T04:17:08.161Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:17:10.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:17:13.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:17:15.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:17:17.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:17:18.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:17:20.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:17:21.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:17:21.763Z] 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.
[2025-10-16T04:17:21.763Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:17:22.519Z] Top recommended movies for user id 72:
[2025-10-16T04:17:22.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:17:22.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:17:22.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:17:22.519Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:17:22.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:17:22.519Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17487.193 ms) ======
[2025-10-16T04:17:22.519Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-16T04:17:22.519Z] GC before operation: completed in 123.652 ms, heap usage 112.498 MB -> 89.712 MB.
[2025-10-16T04:17:24.957Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:17:27.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:17:30.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:17:33.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:17:35.278Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:17:36.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:17:37.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:17:39.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:17:39.194Z] 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.
[2025-10-16T04:17:39.194Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:17:39.194Z] Top recommended movies for user id 72:
[2025-10-16T04:17:39.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:17:39.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:17:39.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:17:39.194Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:17:39.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:17:39.194Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16910.076 ms) ======
[2025-10-16T04:17:39.194Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-16T04:17:39.194Z] GC before operation: completed in 139.176 ms, heap usage 528.746 MB -> 89.667 MB.
[2025-10-16T04:17:41.635Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:17:44.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:17:46.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:17:48.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:17:50.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:17:52.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:17:53.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:17:55.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:17:55.251Z] 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.
[2025-10-16T04:17:55.251Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:17:55.251Z] Top recommended movies for user id 72:
[2025-10-16T04:17:55.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:17:55.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:17:55.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:17:55.251Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:17:55.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:17:55.251Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16002.478 ms) ======
[2025-10-16T04:17:55.251Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-16T04:17:55.251Z] GC before operation: completed in 103.134 ms, heap usage 290.560 MB -> 89.667 MB.
[2025-10-16T04:17:57.704Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:18:00.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:18:02.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:18:05.041Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:18:06.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:18:08.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:18:09.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:18:11.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:18:12.087Z] 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.
[2025-10-16T04:18:12.087Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:18:12.087Z] Top recommended movies for user id 72:
[2025-10-16T04:18:12.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:18:12.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:18:12.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:18:12.087Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:18:12.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:18:12.087Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16450.622 ms) ======
[2025-10-16T04:18:12.087Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-16T04:18:12.087Z] GC before operation: completed in 112.233 ms, heap usage 240.441 MB -> 89.574 MB.
[2025-10-16T04:18:14.670Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:18:17.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:18:20.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:18:22.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:18:24.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:18:26.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:18:27.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:18:28.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:18:29.192Z] 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.
[2025-10-16T04:18:29.193Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:18:29.193Z] Top recommended movies for user id 72:
[2025-10-16T04:18:29.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:18:29.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:18:29.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:18:29.193Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:18:29.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:18:29.193Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17072.817 ms) ======
[2025-10-16T04:18:29.193Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-16T04:18:29.193Z] GC before operation: completed in 99.339 ms, heap usage 178.118 MB -> 89.841 MB.
[2025-10-16T04:18:31.625Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:18:34.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:18:36.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:18:38.945Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:18:40.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:18:42.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:18:43.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:18:45.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:18:45.222Z] 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.
[2025-10-16T04:18:45.222Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:18:45.222Z] Top recommended movies for user id 72:
[2025-10-16T04:18:45.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:18:45.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:18:45.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:18:45.222Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:18:45.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:18:45.222Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16070.576 ms) ======
[2025-10-16T04:18:45.222Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-16T04:18:45.222Z] GC before operation: completed in 106.052 ms, heap usage 295.939 MB -> 89.938 MB.
[2025-10-16T04:18:47.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:18:50.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:18:52.548Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:18:54.988Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:18:56.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:18:58.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:18:59.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:19:00.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:19:01.492Z] 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.
[2025-10-16T04:19:01.492Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:19:01.492Z] Top recommended movies for user id 72:
[2025-10-16T04:19:01.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:19:01.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:19:01.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:19:01.492Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:19:01.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:19:01.492Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16025.621 ms) ======
[2025-10-16T04:19:01.492Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-16T04:19:01.492Z] GC before operation: completed in 104.140 ms, heap usage 391.799 MB -> 90.292 MB.
[2025-10-16T04:19:03.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:19:06.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:19:08.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:19:11.358Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:19:12.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:19:14.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:19:16.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:19:16.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:19:17.610Z] 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.
[2025-10-16T04:19:17.610Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:19:17.610Z] Top recommended movies for user id 72:
[2025-10-16T04:19:17.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:19:17.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:19:17.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:19:17.610Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:19:17.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:19:17.610Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16033.457 ms) ======
[2025-10-16T04:19:17.610Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-16T04:19:17.610Z] GC before operation: completed in 107.000 ms, heap usage 496.198 MB -> 90.230 MB.
[2025-10-16T04:19:20.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:19:22.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:19:24.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:19:27.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:19:28.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:19:30.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:19:32.079Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:19:34.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:19:34.165Z] 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.
[2025-10-16T04:19:34.165Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:19:34.165Z] Top recommended movies for user id 72:
[2025-10-16T04:19:34.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:19:34.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:19:34.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:19:34.165Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:19:34.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:19:34.165Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16435.287 ms) ======
[2025-10-16T04:19:34.165Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-16T04:19:34.165Z] GC before operation: completed in 113.426 ms, heap usage 482.626 MB -> 90.427 MB.
[2025-10-16T04:19:36.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:19:39.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:19:41.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:19:43.679Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:19:44.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:19:46.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:19:48.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:19:49.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:19:49.200Z] 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.
[2025-10-16T04:19:49.962Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:19:49.962Z] Top recommended movies for user id 72:
[2025-10-16T04:19:49.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:19:49.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:19:49.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:19:49.962Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:19:49.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:19:49.962Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15488.554 ms) ======
[2025-10-16T04:19:49.962Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-16T04:19:49.962Z] GC before operation: completed in 108.177 ms, heap usage 286.521 MB -> 89.978 MB.
[2025-10-16T04:19:52.415Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:19:53.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:19:56.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:19:58.862Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:19:59.625Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:20:01.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:20:02.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:20:04.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:20:04.328Z] 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.
[2025-10-16T04:20:04.328Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:20:04.328Z] Top recommended movies for user id 72:
[2025-10-16T04:20:04.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:20:04.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:20:04.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:20:04.328Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:20:04.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:20:04.328Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14537.603 ms) ======
[2025-10-16T04:20:04.328Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-16T04:20:04.328Z] GC before operation: completed in 108.007 ms, heap usage 437.113 MB -> 90.367 MB.
[2025-10-16T04:20:06.767Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:20:09.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:20:11.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:20:13.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:20:14.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:20:16.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:20:17.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:20:19.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:20:19.196Z] 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.
[2025-10-16T04:20:19.196Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:20:19.196Z] Top recommended movies for user id 72:
[2025-10-16T04:20:19.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:20:19.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:20:19.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:20:19.196Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:20:19.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:20:19.196Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14847.595 ms) ======
[2025-10-16T04:20:19.196Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-16T04:20:19.196Z] GC before operation: completed in 122.117 ms, heap usage 196.476 MB -> 90.157 MB.
[2025-10-16T04:20:21.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:20:24.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:20:26.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:20:28.959Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:20:29.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:20:31.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:20:32.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:20:33.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:20:34.367Z] 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.
[2025-10-16T04:20:34.367Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:20:34.367Z] Top recommended movies for user id 72:
[2025-10-16T04:20:34.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:20:34.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:20:34.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:20:34.367Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:20:34.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:20:34.367Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14772.804 ms) ======
[2025-10-16T04:20:34.367Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-16T04:20:34.367Z] GC before operation: completed in 106.052 ms, heap usage 369.736 MB -> 90.177 MB.
[2025-10-16T04:20:36.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:20:38.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:20:40.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:20:43.257Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:20:44.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:20:45.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:20:47.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:20:48.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:20:48.727Z] 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.
[2025-10-16T04:20:48.727Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:20:48.727Z] Top recommended movies for user id 72:
[2025-10-16T04:20:48.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:20:48.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:20:48.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:20:48.727Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:20:48.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:20:48.727Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14590.407 ms) ======
[2025-10-16T04:20:48.727Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-16T04:20:48.727Z] GC before operation: completed in 108.717 ms, heap usage 196.541 MB -> 90.142 MB.
[2025-10-16T04:20:51.168Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:20:53.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:20:55.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:20:58.128Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:20:59.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:21:00.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:21:02.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:21:03.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:21:03.613Z] 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.
[2025-10-16T04:21:03.613Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:21:04.371Z] Top recommended movies for user id 72:
[2025-10-16T04:21:04.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:21:04.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:21:04.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:21:04.371Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:21:04.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:21:04.371Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15092.197 ms) ======
[2025-10-16T04:21:04.371Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-16T04:21:04.371Z] GC before operation: completed in 112.073 ms, heap usage 299.805 MB -> 90.135 MB.
[2025-10-16T04:21:06.818Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:21:09.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:21:10.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:21:15.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:21:16.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:21:18.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:21:19.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:21:20.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:21:20.705Z] 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.
[2025-10-16T04:21:22.831Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:21:22.831Z] Top recommended movies for user id 72:
[2025-10-16T04:21:22.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:21:22.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:21:22.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:21:22.831Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:21:22.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:21:22.831Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16996.891 ms) ======
[2025-10-16T04:21:22.831Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-16T04:21:22.831Z] GC before operation: completed in 104.864 ms, heap usage 363.789 MB -> 90.354 MB.
[2025-10-16T04:21:25.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:21:27.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:21:34.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:21:36.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:21:38.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:21:39.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:21:40.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:21:41.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:21:42.226Z] 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.
[2025-10-16T04:21:42.226Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:21:42.226Z] Top recommended movies for user id 72:
[2025-10-16T04:21:42.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:21:42.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:21:42.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:21:42.226Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:21:42.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:21:42.226Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20968.962 ms) ======
[2025-10-16T04:21:42.226Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-16T04:21:42.226Z] GC before operation: completed in 100.745 ms, heap usage 369.227 MB -> 90.207 MB.
[2025-10-16T04:21:44.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:21:47.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:21:49.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:21:51.987Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:21:53.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:21:55.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:21:55.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:21:57.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:21:58.251Z] 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.
[2025-10-16T04:21:58.251Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:21:58.251Z] Top recommended movies for user id 72:
[2025-10-16T04:21:58.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:21:58.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:21:58.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:21:58.251Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:21:58.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:21:58.251Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15751.894 ms) ======
[2025-10-16T04:21:58.251Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-16T04:21:58.251Z] GC before operation: completed in 101.434 ms, heap usage 372.487 MB -> 90.295 MB.
[2025-10-16T04:22:00.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T04:22:03.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T04:22:05.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T04:22:08.157Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T04:22:08.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T04:22:10.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T04:22:12.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T04:22:13.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T04:22:13.717Z] 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.
[2025-10-16T04:22:13.717Z] The best model improves the baseline by 14.52%.
[2025-10-16T04:22:13.717Z] Top recommended movies for user id 72:
[2025-10-16T04:22:13.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T04:22:13.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T04:22:13.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T04:22:13.717Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T04:22:13.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T04:22:13.717Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15631.503 ms) ======
[2025-10-16T04:22:14.486Z] -----------------------------------
[2025-10-16T04:22:14.486Z] renaissance-movie-lens_0_PASSED
[2025-10-16T04:22:14.486Z] -----------------------------------
[2025-10-16T04:22:14.486Z]
[2025-10-16T04:22:14.486Z] TEST TEARDOWN:
[2025-10-16T04:22:14.486Z] Nothing to be done for teardown.
[2025-10-16T04:22:14.486Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 04:22:13 2025 Epoch Time (ms): 1760588533849