renaissance-movie-lens_0
[2025-03-30T21:41:30.010Z] Running test renaissance-movie-lens_0 ...
[2025-03-30T21:41:30.010Z] ===============================================
[2025-03-30T21:41:30.010Z] renaissance-movie-lens_0 Start Time: Sun Mar 30 21:41:29 2025 Epoch Time (ms): 1743370889561
[2025-03-30T21:41:30.010Z] variation: NoOptions
[2025-03-30T21:41:30.010Z] JVM_OPTIONS:
[2025-03-30T21:41:30.010Z] { \
[2025-03-30T21:41:30.010Z] echo ""; echo "TEST SETUP:"; \
[2025-03-30T21:41:30.010Z] echo "Nothing to be done for setup."; \
[2025-03-30T21:41:30.010Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17433693453819/renaissance-movie-lens_0"; \
[2025-03-30T21:41:30.010Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17433693453819/renaissance-movie-lens_0"; \
[2025-03-30T21:41:30.010Z] echo ""; echo "TESTING:"; \
[2025-03-30T21:41:30.010Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17433693453819/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-03-30T21:41:30.010Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17433693453819/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-03-30T21:41:30.010Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-03-30T21:41:30.010Z] echo "Nothing to be done for teardown."; \
[2025-03-30T21:41:30.010Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17433693453819/TestTargetResult";
[2025-03-30T21:41:30.010Z]
[2025-03-30T21:41:30.010Z] TEST SETUP:
[2025-03-30T21:41:30.010Z] Nothing to be done for setup.
[2025-03-30T21:41:30.010Z]
[2025-03-30T21:41:30.010Z] TESTING:
[2025-03-30T21:41:39.857Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-03-30T21:41:51.528Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-03-30T21:41:52.298Z] Training: 60056, validation: 20285, test: 19854
[2025-03-30T21:41:52.298Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-03-30T21:41:52.298Z] GC before operation: completed in 170.021 ms, heap usage 463.242 MB -> 75.334 MB.
[2025-03-30T21:41:59.160Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:42:03.604Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:42:08.061Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:42:11.475Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:42:13.946Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:42:16.415Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:42:18.884Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:42:21.358Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:42:21.358Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:42:21.358Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:42:22.125Z] Top recommended movies for user id 72:
[2025-03-30T21:42:22.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:42:22.125Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:42:22.125Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:42:22.125Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:42:22.125Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:42:22.125Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29656.854 ms) ======
[2025-03-30T21:42:22.125Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-03-30T21:42:22.125Z] GC before operation: completed in 236.270 ms, heap usage 627.687 MB -> 88.255 MB.
[2025-03-30T21:42:26.577Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:42:30.001Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:42:33.433Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:42:37.933Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:42:39.518Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:42:41.988Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:42:44.519Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:42:46.983Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:42:46.983Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:42:46.983Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:42:46.983Z] Top recommended movies for user id 72:
[2025-03-30T21:42:46.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:42:46.983Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:42:46.983Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:42:46.983Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:42:46.983Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:42:46.983Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25159.133 ms) ======
[2025-03-30T21:42:46.983Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-03-30T21:42:47.750Z] GC before operation: completed in 235.389 ms, heap usage 155.231 MB -> 90.579 MB.
[2025-03-30T21:42:51.179Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:42:55.634Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:42:59.043Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:43:02.462Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:43:04.931Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:43:06.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:43:08.982Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:43:11.443Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:43:11.443Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:43:11.443Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:43:12.226Z] Top recommended movies for user id 72:
[2025-03-30T21:43:12.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:43:12.226Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:43:12.226Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:43:12.226Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:43:12.226Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:43:12.226Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24333.596 ms) ======
[2025-03-30T21:43:12.226Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-03-30T21:43:12.226Z] GC before operation: completed in 207.443 ms, heap usage 196.124 MB -> 91.367 MB.
[2025-03-30T21:43:15.639Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:43:19.058Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:43:23.517Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:43:26.932Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:43:28.517Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:43:30.988Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:43:33.450Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:43:35.927Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:43:35.927Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:43:35.927Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:43:35.927Z] Top recommended movies for user id 72:
[2025-03-30T21:43:35.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:43:35.927Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:43:35.927Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:43:35.927Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:43:35.927Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:43:35.927Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24164.618 ms) ======
[2025-03-30T21:43:35.927Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-03-30T21:43:36.696Z] GC before operation: completed in 231.803 ms, heap usage 614.832 MB -> 92.039 MB.
[2025-03-30T21:43:40.113Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:43:44.568Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:43:47.999Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:43:51.438Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:43:53.027Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:43:55.505Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:43:57.977Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:44:00.461Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:44:00.462Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:44:00.462Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:44:00.462Z] Top recommended movies for user id 72:
[2025-03-30T21:44:00.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:44:00.462Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:44:00.462Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:44:00.462Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:44:00.462Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:44:00.462Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24218.529 ms) ======
[2025-03-30T21:44:00.462Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-03-30T21:44:01.229Z] GC before operation: completed in 213.469 ms, heap usage 1.057 GB -> 95.838 MB.
[2025-03-30T21:44:04.870Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:44:08.291Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:44:11.721Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:44:16.178Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:44:17.779Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:44:20.255Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:44:22.718Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:44:25.188Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:44:25.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:44:25.188Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:44:25.188Z] Top recommended movies for user id 72:
[2025-03-30T21:44:25.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:44:25.188Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:44:25.188Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:44:25.188Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:44:25.188Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:44:25.188Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24352.439 ms) ======
[2025-03-30T21:44:25.188Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-03-30T21:44:25.188Z] GC before operation: completed in 203.369 ms, heap usage 981.860 MB -> 95.948 MB.
[2025-03-30T21:44:29.640Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:44:33.078Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:44:36.499Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:44:39.914Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:44:42.386Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:44:44.856Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:44:46.442Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:44:48.918Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:44:48.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:44:48.918Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:44:49.694Z] Top recommended movies for user id 72:
[2025-03-30T21:44:49.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:44:49.694Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:44:49.694Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:44:49.694Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:44:49.694Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:44:49.694Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23967.787 ms) ======
[2025-03-30T21:44:49.694Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-03-30T21:44:49.695Z] GC before operation: completed in 226.960 ms, heap usage 718.439 MB -> 95.714 MB.
[2025-03-30T21:44:53.111Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:44:56.529Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:45:00.986Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:45:03.460Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:45:05.932Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:45:08.401Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:45:09.992Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:45:12.470Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:45:12.470Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:45:12.470Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:45:13.238Z] Top recommended movies for user id 72:
[2025-03-30T21:45:13.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:45:13.238Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:45:13.238Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:45:13.238Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:45:13.238Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:45:13.238Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23175.368 ms) ======
[2025-03-30T21:45:13.238Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-03-30T21:45:13.238Z] GC before operation: completed in 222.592 ms, heap usage 565.157 MB -> 92.419 MB.
[2025-03-30T21:45:16.649Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:45:20.066Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:45:23.674Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:45:27.093Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:45:29.572Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:45:32.038Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:45:33.636Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:45:36.113Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:45:36.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:45:36.113Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:45:36.883Z] Top recommended movies for user id 72:
[2025-03-30T21:45:36.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:45:36.883Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:45:36.883Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:45:36.883Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:45:36.883Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:45:36.883Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23514.369 ms) ======
[2025-03-30T21:45:36.883Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-03-30T21:45:36.883Z] GC before operation: completed in 215.818 ms, heap usage 451.617 MB -> 92.149 MB.
[2025-03-30T21:45:40.306Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:45:43.719Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:45:48.357Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:45:50.819Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:45:53.286Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:45:55.751Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:45:57.340Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:45:59.803Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:45:59.803Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:45:59.803Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:46:00.569Z] Top recommended movies for user id 72:
[2025-03-30T21:46:00.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:46:00.569Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:46:00.569Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:46:00.569Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:46:00.569Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:46:00.569Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23505.631 ms) ======
[2025-03-30T21:46:00.569Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-03-30T21:46:00.569Z] GC before operation: completed in 217.198 ms, heap usage 459.257 MB -> 95.595 MB.
[2025-03-30T21:46:03.980Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:46:07.394Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:46:11.851Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:46:15.267Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:46:16.855Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:46:19.332Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:46:21.802Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:46:23.389Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:46:24.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:46:24.160Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:46:24.160Z] Top recommended movies for user id 72:
[2025-03-30T21:46:24.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:46:24.160Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:46:24.160Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:46:24.160Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:46:24.160Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:46:24.160Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23511.742 ms) ======
[2025-03-30T21:46:24.160Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-03-30T21:46:24.160Z] GC before operation: completed in 260.966 ms, heap usage 642.230 MB -> 92.175 MB.
[2025-03-30T21:46:27.597Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:46:31.016Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:46:35.466Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:46:38.885Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:46:40.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:46:42.938Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:46:45.414Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:46:47.004Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:46:47.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:46:47.774Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:46:47.774Z] Top recommended movies for user id 72:
[2025-03-30T21:46:47.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:46:47.774Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:46:47.774Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:46:47.774Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:46:47.774Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:46:47.774Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23605.344 ms) ======
[2025-03-30T21:46:47.774Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-03-30T21:46:48.543Z] GC before operation: completed in 232.076 ms, heap usage 165.783 MB -> 91.997 MB.
[2025-03-30T21:46:51.955Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:46:55.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:46:58.797Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:47:02.222Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:47:04.689Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:47:07.172Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:47:08.767Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:47:11.253Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:47:12.023Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:47:12.023Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:47:12.023Z] Top recommended movies for user id 72:
[2025-03-30T21:47:12.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:47:12.023Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:47:12.023Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:47:12.023Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:47:12.023Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:47:12.023Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23715.208 ms) ======
[2025-03-30T21:47:12.023Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-03-30T21:47:12.023Z] GC before operation: completed in 240.323 ms, heap usage 429.610 MB -> 92.430 MB.
[2025-03-30T21:47:15.438Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:47:18.869Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:47:23.329Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:47:26.745Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:47:28.339Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:47:30.802Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:47:33.271Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:47:34.864Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:47:35.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:47:35.639Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:47:35.639Z] Top recommended movies for user id 72:
[2025-03-30T21:47:35.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:47:35.639Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:47:35.639Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:47:35.639Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:47:35.639Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:47:35.639Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23588.665 ms) ======
[2025-03-30T21:47:35.639Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-03-30T21:47:35.639Z] GC before operation: completed in 209.308 ms, heap usage 106.193 MB -> 96.318 MB.
[2025-03-30T21:47:40.099Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:47:43.513Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:47:46.938Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:47:50.370Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:47:51.961Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:47:54.421Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:47:56.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:47:58.503Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:47:59.271Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:47:59.271Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:47:59.271Z] Top recommended movies for user id 72:
[2025-03-30T21:47:59.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:47:59.271Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:47:59.271Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:47:59.271Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:47:59.271Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:47:59.271Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23257.912 ms) ======
[2025-03-30T21:47:59.271Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-03-30T21:47:59.271Z] GC before operation: completed in 248.042 ms, heap usage 497.930 MB -> 92.583 MB.
[2025-03-30T21:48:02.683Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:48:07.150Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:48:10.587Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:48:14.001Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:48:15.595Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:48:18.063Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:48:20.537Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:48:22.132Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:48:22.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:48:22.900Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:48:22.900Z] Top recommended movies for user id 72:
[2025-03-30T21:48:22.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:48:22.900Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:48:22.900Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:48:22.900Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:48:22.900Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:48:22.900Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23421.178 ms) ======
[2025-03-30T21:48:22.900Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-03-30T21:48:22.900Z] GC before operation: completed in 247.502 ms, heap usage 194.694 MB -> 92.093 MB.
[2025-03-30T21:48:27.358Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:48:29.828Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:48:34.282Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:48:37.703Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:48:39.298Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:48:41.775Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:48:43.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:48:45.842Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:48:45.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:48:45.842Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:48:46.614Z] Top recommended movies for user id 72:
[2025-03-30T21:48:46.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:48:46.614Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:48:46.614Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:48:46.614Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:48:46.614Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:48:46.614Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23236.853 ms) ======
[2025-03-30T21:48:46.614Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-03-30T21:48:46.614Z] GC before operation: completed in 211.626 ms, heap usage 551.711 MB -> 92.484 MB.
[2025-03-30T21:48:50.032Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:48:53.462Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:48:57.920Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:49:00.391Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:49:02.866Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:49:05.330Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:49:06.916Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:49:09.388Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:49:09.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:49:09.388Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:49:10.156Z] Top recommended movies for user id 72:
[2025-03-30T21:49:10.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:49:10.156Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:49:10.156Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:49:10.156Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:49:10.156Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:49:10.156Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23268.436 ms) ======
[2025-03-30T21:49:10.156Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-03-30T21:49:10.156Z] GC before operation: completed in 199.275 ms, heap usage 749.230 MB -> 95.842 MB.
[2025-03-30T21:49:13.570Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:49:16.994Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:49:21.445Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:49:24.869Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:49:26.463Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:49:28.930Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:49:30.516Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:49:32.980Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:49:32.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:49:32.980Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:49:33.754Z] Top recommended movies for user id 72:
[2025-03-30T21:49:33.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:49:33.754Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:49:33.754Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:49:33.754Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:49:33.754Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:49:33.754Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23392.099 ms) ======
[2025-03-30T21:49:33.754Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-03-30T21:49:33.754Z] GC before operation: completed in 219.201 ms, heap usage 283.183 MB -> 92.184 MB.
[2025-03-30T21:49:37.175Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-30T21:49:40.591Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-30T21:49:44.014Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-30T21:49:47.439Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-30T21:49:49.908Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-30T21:49:51.502Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-30T21:49:53.979Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-30T21:49:56.459Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-30T21:49:56.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-30T21:49:56.459Z] The best model improves the baseline by 14.43%.
[2025-03-30T21:49:57.230Z] Top recommended movies for user id 72:
[2025-03-30T21:49:57.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-30T21:49:57.230Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-30T21:49:57.230Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-30T21:49:57.230Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-30T21:49:57.230Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-30T21:49:57.230Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23252.792 ms) ======
[2025-03-30T21:49:57.230Z] -----------------------------------
[2025-03-30T21:49:57.230Z] renaissance-movie-lens_0_PASSED
[2025-03-30T21:49:57.230Z] -----------------------------------
[2025-03-30T21:49:57.997Z]
[2025-03-30T21:49:57.997Z] TEST TEARDOWN:
[2025-03-30T21:49:57.997Z] Nothing to be done for teardown.
[2025-03-30T21:49:57.997Z] renaissance-movie-lens_0 Finish Time: Sun Mar 30 21:49:57 2025 Epoch Time (ms): 1743371397152