renaissance-movie-lens_0
[2025-11-20T07:42:01.837Z] Running test renaissance-movie-lens_0 ...
[2025-11-20T07:42:01.838Z] ===============================================
[2025-11-20T07:42:01.838Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 07:42:01 2025 Epoch Time (ms): 1763624521437
[2025-11-20T07:42:01.838Z] variation: NoOptions
[2025-11-20T07:42:01.838Z] JVM_OPTIONS:
[2025-11-20T07:42:01.838Z] { \
[2025-11-20T07:42:01.838Z] echo ""; echo "TEST SETUP:"; \
[2025-11-20T07:42:01.838Z] echo "Nothing to be done for setup."; \
[2025-11-20T07:42:01.838Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_176362377776/renaissance-movie-lens_0"; \
[2025-11-20T07:42:01.838Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_176362377776/renaissance-movie-lens_0"; \
[2025-11-20T07:42:01.838Z] echo ""; echo "TESTING:"; \
[2025-11-20T07:42:01.838Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_176362377776/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-20T07:42:01.838Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_176362377776/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-20T07:42:01.838Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-20T07:42:01.838Z] echo "Nothing to be done for teardown."; \
[2025-11-20T07:42:01.838Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_176362377776/TestTargetResult";
[2025-11-20T07:42:01.838Z]
[2025-11-20T07:42:01.838Z] TEST SETUP:
[2025-11-20T07:42:01.838Z] Nothing to be done for setup.
[2025-11-20T07:42:01.838Z]
[2025-11-20T07:42:01.838Z] TESTING:
[2025-11-20T07:42:06.684Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-11-20T07:42:13.408Z] 07:42:13.238 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-11-20T07:42:15.845Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-20T07:42:16.602Z] Training: 60056, validation: 20285, test: 19854
[2025-11-20T07:42:16.602Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-20T07:42:16.602Z] GC before operation: completed in 129.539 ms, heap usage 548.127 MB -> 76.195 MB.
[2025-11-20T07:42:23.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:42:27.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:42:31.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:42:35.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:42:37.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:42:38.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:42:40.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:42:42.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:42:42.591Z] 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.
[2025-11-20T07:42:42.591Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:42:42.591Z] Top recommended movies for user id 72:
[2025-11-20T07:42:42.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:42:42.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:42:42.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:42:42.591Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:42:42.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:42:42.591Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26515.620 ms) ======
[2025-11-20T07:42:42.591Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-20T07:42:43.339Z] GC before operation: completed in 123.226 ms, heap usage 202.927 MB -> 88.842 MB.
[2025-11-20T07:42:45.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:42:49.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:42:52.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:42:54.569Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:42:56.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:42:57.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:43:00.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:43:01.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:43:01.699Z] 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.
[2025-11-20T07:43:01.699Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:43:01.699Z] Top recommended movies for user id 72:
[2025-11-20T07:43:01.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:43:01.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:43:01.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:43:01.699Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:43:01.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:43:01.699Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18765.732 ms) ======
[2025-11-20T07:43:01.699Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-20T07:43:01.699Z] GC before operation: completed in 139.389 ms, heap usage 288.332 MB -> 88.925 MB.
[2025-11-20T07:43:05.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:43:08.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:43:10.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:43:13.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:43:14.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:43:17.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:43:18.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:43:20.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:43:20.366Z] 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.
[2025-11-20T07:43:20.366Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:43:20.366Z] Top recommended movies for user id 72:
[2025-11-20T07:43:20.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:43:20.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:43:20.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:43:20.366Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:43:20.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:43:20.366Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18646.377 ms) ======
[2025-11-20T07:43:20.366Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-20T07:43:20.366Z] GC before operation: completed in 114.628 ms, heap usage 133.198 MB -> 89.412 MB.
[2025-11-20T07:43:23.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:43:27.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:43:29.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:43:31.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:43:33.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:43:35.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:43:37.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:43:38.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:43:38.605Z] 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.
[2025-11-20T07:43:38.605Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:43:38.605Z] Top recommended movies for user id 72:
[2025-11-20T07:43:38.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:43:38.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:43:38.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:43:38.605Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:43:38.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:43:38.605Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18149.799 ms) ======
[2025-11-20T07:43:38.605Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-20T07:43:38.605Z] GC before operation: completed in 116.582 ms, heap usage 343.198 MB -> 89.960 MB.
[2025-11-20T07:43:41.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:43:44.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:43:46.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:43:50.111Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:43:51.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:43:53.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:43:54.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:43:56.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:43:56.333Z] 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.
[2025-11-20T07:43:56.333Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:43:57.081Z] Top recommended movies for user id 72:
[2025-11-20T07:43:57.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:43:57.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:43:57.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:43:57.081Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:43:57.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:43:57.081Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17755.703 ms) ======
[2025-11-20T07:43:57.081Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-20T07:43:57.081Z] GC before operation: completed in 118.908 ms, heap usage 511.926 MB -> 90.137 MB.
[2025-11-20T07:43:59.505Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:44:01.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:44:05.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:44:07.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:44:09.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:44:10.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:44:12.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:44:13.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:44:14.491Z] 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.
[2025-11-20T07:44:14.491Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:44:14.491Z] Top recommended movies for user id 72:
[2025-11-20T07:44:14.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:44:14.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:44:14.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:44:14.491Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:44:14.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:44:14.491Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17131.366 ms) ======
[2025-11-20T07:44:14.491Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-20T07:44:14.491Z] GC before operation: completed in 137.151 ms, heap usage 368.134 MB -> 90.323 MB.
[2025-11-20T07:44:16.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:44:19.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:44:21.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:44:24.150Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:44:25.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:44:27.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:44:28.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:44:30.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:44:30.460Z] 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.
[2025-11-20T07:44:30.460Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:44:30.460Z] Top recommended movies for user id 72:
[2025-11-20T07:44:30.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:44:30.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:44:30.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:44:30.460Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:44:30.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:44:30.460Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16709.027 ms) ======
[2025-11-20T07:44:30.460Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-20T07:44:31.208Z] GC before operation: completed in 118.787 ms, heap usage 364.241 MB -> 90.265 MB.
[2025-11-20T07:44:33.633Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:44:36.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:44:38.498Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:44:41.036Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:44:42.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:44:44.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:44:45.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:44:47.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:44:48.010Z] 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.
[2025-11-20T07:44:48.010Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:44:48.010Z] Top recommended movies for user id 72:
[2025-11-20T07:44:48.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:44:48.010Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:44:48.010Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:44:48.010Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:44:48.010Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:44:48.010Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16868.292 ms) ======
[2025-11-20T07:44:48.010Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-20T07:44:48.010Z] GC before operation: completed in 117.861 ms, heap usage 410.118 MB -> 90.433 MB.
[2025-11-20T07:44:50.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:44:53.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:44:55.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:44:58.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:44:59.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:45:01.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:45:02.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:45:04.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:45:04.421Z] 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.
[2025-11-20T07:45:04.421Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:45:04.421Z] Top recommended movies for user id 72:
[2025-11-20T07:45:04.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:45:04.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:45:04.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:45:04.421Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:45:04.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:45:04.421Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16760.958 ms) ======
[2025-11-20T07:45:04.421Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-20T07:45:04.421Z] GC before operation: completed in 111.539 ms, heap usage 366.554 MB -> 90.426 MB.
[2025-11-20T07:45:07.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:45:10.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:45:12.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:45:14.235Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:45:15.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:45:17.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:45:19.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:45:19.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:45:20.513Z] 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.
[2025-11-20T07:45:20.513Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:45:20.513Z] Top recommended movies for user id 72:
[2025-11-20T07:45:20.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:45:20.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:45:20.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:45:20.513Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:45:20.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:45:20.513Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15661.907 ms) ======
[2025-11-20T07:45:20.513Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-20T07:45:20.513Z] GC before operation: completed in 130.561 ms, heap usage 211.384 MB -> 90.332 MB.
[2025-11-20T07:45:22.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:45:25.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:45:27.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:45:30.187Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:45:31.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:45:33.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:45:35.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:45:36.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:45:36.942Z] 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.
[2025-11-20T07:45:36.942Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:45:36.942Z] Top recommended movies for user id 72:
[2025-11-20T07:45:36.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:45:36.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:45:36.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:45:36.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:45:36.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:45:36.942Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16427.915 ms) ======
[2025-11-20T07:45:36.942Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-20T07:45:36.942Z] GC before operation: completed in 118.915 ms, heap usage 547.709 MB -> 93.740 MB.
[2025-11-20T07:45:39.355Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:45:41.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:45:44.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:45:46.618Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:45:48.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:45:49.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:45:51.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:45:52.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:45:53.589Z] 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.
[2025-11-20T07:45:53.589Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:45:53.589Z] Top recommended movies for user id 72:
[2025-11-20T07:45:53.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:45:53.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:45:53.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:45:53.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:45:53.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:45:53.589Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16352.206 ms) ======
[2025-11-20T07:45:53.589Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-20T07:45:53.589Z] GC before operation: completed in 109.667 ms, heap usage 242.267 MB -> 90.396 MB.
[2025-11-20T07:45:56.005Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:45:58.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:46:01.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:46:04.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:46:04.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:46:07.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:46:08.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:46:09.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:46:09.712Z] 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.
[2025-11-20T07:46:09.712Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:46:10.464Z] Top recommended movies for user id 72:
[2025-11-20T07:46:10.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:46:10.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:46:10.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:46:10.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:46:10.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:46:10.465Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16594.378 ms) ======
[2025-11-20T07:46:10.465Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-20T07:46:10.465Z] GC before operation: completed in 116.932 ms, heap usage 209.603 MB -> 90.460 MB.
[2025-11-20T07:46:12.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:46:15.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:46:18.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:46:19.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:46:21.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:46:22.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:46:24.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:46:25.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:46:25.993Z] 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.
[2025-11-20T07:46:25.993Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:46:25.993Z] Top recommended movies for user id 72:
[2025-11-20T07:46:25.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:46:25.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:46:25.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:46:25.993Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:46:25.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:46:25.993Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15660.646 ms) ======
[2025-11-20T07:46:25.993Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-20T07:46:25.993Z] GC before operation: completed in 127.814 ms, heap usage 535.429 MB -> 93.953 MB.
[2025-11-20T07:46:28.417Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:46:30.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:46:33.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:46:35.661Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:46:37.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:46:38.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:46:40.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:46:41.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:46:41.918Z] 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.
[2025-11-20T07:46:41.918Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:46:41.918Z] Top recommended movies for user id 72:
[2025-11-20T07:46:41.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:46:41.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:46:41.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:46:41.918Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:46:41.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:46:41.918Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15972.720 ms) ======
[2025-11-20T07:46:41.918Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-20T07:46:41.918Z] GC before operation: completed in 114.933 ms, heap usage 545.332 MB -> 94.179 MB.
[2025-11-20T07:46:44.334Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:46:47.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:46:50.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:46:52.535Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:46:54.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:46:55.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:46:56.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:46:58.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:46:58.956Z] 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.
[2025-11-20T07:46:58.956Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:46:58.956Z] Top recommended movies for user id 72:
[2025-11-20T07:46:58.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:46:58.956Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:46:58.956Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:46:58.956Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:46:58.956Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:46:58.956Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16608.242 ms) ======
[2025-11-20T07:46:58.956Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-20T07:46:58.956Z] GC before operation: completed in 125.323 ms, heap usage 389.593 MB -> 90.509 MB.
[2025-11-20T07:47:01.384Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:47:03.800Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:47:06.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:47:08.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:47:10.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:47:11.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:47:13.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:47:14.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:47:14.805Z] 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.
[2025-11-20T07:47:14.805Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:47:14.805Z] Top recommended movies for user id 72:
[2025-11-20T07:47:14.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:47:14.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:47:14.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:47:14.805Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:47:14.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:47:14.805Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15719.906 ms) ======
[2025-11-20T07:47:14.805Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-20T07:47:14.805Z] GC before operation: completed in 114.432 ms, heap usage 116.955 MB -> 92.073 MB.
[2025-11-20T07:47:17.232Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:47:19.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:47:22.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:47:24.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:47:26.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:47:27.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:47:29.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:47:30.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:47:30.728Z] 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.
[2025-11-20T07:47:30.728Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:47:30.728Z] Top recommended movies for user id 72:
[2025-11-20T07:47:30.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:47:30.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:47:30.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:47:30.728Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:47:30.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:47:30.728Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16097.518 ms) ======
[2025-11-20T07:47:30.728Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-20T07:47:30.728Z] GC before operation: completed in 114.866 ms, heap usage 502.268 MB -> 90.629 MB.
[2025-11-20T07:47:33.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:47:36.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:47:38.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:47:40.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:47:42.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:47:43.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:47:44.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:47:46.352Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:47:47.111Z] 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.
[2025-11-20T07:47:47.111Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:47:47.111Z] Top recommended movies for user id 72:
[2025-11-20T07:47:47.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:47:47.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:47:47.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:47:47.111Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:47:47.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:47:47.111Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16101.577 ms) ======
[2025-11-20T07:47:47.111Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-20T07:47:47.111Z] GC before operation: completed in 109.978 ms, heap usage 101.785 MB -> 90.094 MB.
[2025-11-20T07:47:49.528Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-20T07:47:51.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-20T07:47:54.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-20T07:47:56.788Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-20T07:47:58.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-20T07:47:59.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-20T07:48:01.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-20T07:48:03.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-20T07:48:03.033Z] 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.
[2025-11-20T07:48:03.784Z] The best model improves the baseline by 14.52%.
[2025-11-20T07:48:03.784Z] Top recommended movies for user id 72:
[2025-11-20T07:48:03.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-20T07:48:03.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-20T07:48:03.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-20T07:48:03.784Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-20T07:48:03.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-20T07:48:03.784Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16373.739 ms) ======
[2025-11-20T07:48:03.784Z] -----------------------------------
[2025-11-20T07:48:03.784Z] renaissance-movie-lens_0_PASSED
[2025-11-20T07:48:03.784Z] -----------------------------------
[2025-11-20T07:48:03.784Z]
[2025-11-20T07:48:03.784Z] TEST TEARDOWN:
[2025-11-20T07:48:03.784Z] Nothing to be done for teardown.
[2025-11-20T07:48:03.784Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 07:48:03 2025 Epoch Time (ms): 1763624883611