Task
Supervised Classification on visualizing_soil

Supervised Classification on visualizing_soil

Task 3786 Supervised Classification visualizing_soil 545 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.1416, build_memory: 1625439736.0157, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.1101, build_memory: 1602202876.1236, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.3396, build_memory: 1390988460.6134, f_measure: 0.9577, kappa: 0.9148, kb_relative_information_score: 7892.471, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9588, predictive_accuracy: 0.9576, prior_entropy: 0.9928, recall: 0.9576, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.194, root_relative_squared_error: 0.39, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 1.316, build_memory: 1238517609.9183, f_measure: 0.9693, kappa: 0.938, kb_relative_information_score: 8104.6187, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9698, predictive_accuracy: 0.9692, prior_entropy: 0.9928, recall: 0.9692, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3434, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.7792, build_memory: 839105003.5866, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.3379, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0167, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.7832, build_memory: 413438581.2642, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.3379, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0167, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2.0575, build_memory: 715254883.0413, f_measure: 0.9991, kappa: 0.9981, kb_relative_information_score: 8613.959, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9928, recall: 0.9991, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.0514, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2.0157, build_memory: 1896395610.2386, f_measure: 0.9991, kappa: 0.9981, kb_relative_information_score: 8613.959, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9928, recall: 0.9991, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.0514, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.6976, build_memory: 817526816.2527, f_measure: 0.9947, kappa: 0.9892, kb_relative_information_score: 8478.1783, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9928, recall: 0.9947, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1323, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.1324, build_memory: 437811353.5646, f_measure: 0.9582, kappa: 0.9158, kb_relative_information_score: 7875.2385, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9598, predictive_accuracy: 0.9581, prior_entropy: 0.9928, recall: 0.9581, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3841, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.4124, build_memory: 702588599.6556, f_measure: 0.9983, kappa: 0.9965, kb_relative_information_score: 8587.6488, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9928, recall: 0.9983, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0367, root_relative_squared_error: 0.0737, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.3559, build_memory: 1957148849.3887, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 8244.862, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9928, recall: 0.9847, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2105, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.6617, build_memory: 944648205.0976, f_measure: 0.9634, kappa: 0.9262, kb_relative_information_score: 8003.1611, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9641, predictive_accuracy: 0.9633, prior_entropy: 0.9928, recall: 0.9633, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3683, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, build_cpu_time: 2.3094, build_memory: 867098060.4921, f_measure: 0.9732, kappa: 0.9459, kb_relative_information_score: 8172.0705, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9736, predictive_accuracy: 0.9732, prior_entropy: 0.9928, recall: 0.9732, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3234, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8606.1805, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0698, scimark_benchmark: 945.6434, usercpu_time_millis: 172630, usercpu_time_millis_testing: 172540, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8827, kappa: 0.7688, kb_relative_information_score: 5625.6858, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9066, predictive_accuracy: 0.8829, prior_entropy: 0.9928, recall: 0.8829, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6126, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 6450.5191, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3526, scimark_benchmark: 947.9494, usercpu_time_millis: 9740, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 9670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 904.3001, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 4.7208, build_memory: 1312491276.6365, f_measure: 0.9994, kappa: 0.9988, kb_relative_information_score: 8626.1834, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.9928, recall: 0.9994, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0381, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9946, kb_relative_information_score: 8594.299, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9928, recall: 0.9973, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1037, scimark_benchmark: 947.4269, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9631, kappa: 0.9253, kb_relative_information_score: 7997.7115, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9656, predictive_accuracy: 0.9633, prior_entropy: 0.9928, recall: 0.9633, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.385, scimark_benchmark: 935.8986, usercpu_time_millis: 61950, usercpu_time_millis_testing: 3380, usercpu_time_millis_training: 58570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 931.4202, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 915.2795, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8531.7303, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0286, scimark_benchmark: 911.0478, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8639.2659, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0086, root_relative_squared_error: 0.0173, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9953, kb_relative_information_score: 8558.45, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.9928, recall: 0.9977, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.0855, scimark_benchmark: 923.9763, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.5503, kappa: 0.1869, kb_relative_information_score: 1838.7055, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.7347, predictive_accuracy: 0.6264, prior_entropy: 0.9928, recall: 0.6264, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1779, scimark_benchmark: 947.0793, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8638.826, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9928, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0068, root_relative_squared_error: 0.0137, scimark_benchmark: 942.6953, usercpu_time_millis: 1750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3904, kb_relative_information_score: 751.4057, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.3026, predictive_accuracy: 0.5501, prior_entropy: 0.9928, recall: 0.5501, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3483, scimark_benchmark: 901.0726, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8528.4543, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0384, scimark_benchmark: 929.566, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 889.9795, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.1392, build_memory: 2596815496.9564, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.0978, build_memory: 2741314945.7396, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.1056, build_memory: 1614055244.3847, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 295.7709, build_memory: 125117727.813, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8572.647, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0144, root_relative_squared_error: 0.029, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 139.2573, build_memory: 122424898.6367, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8541.0556, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0339, scimark_benchmark: 935.1851,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.7706, build_memory: 741263770.6849, f_measure: 0.9899, kappa: 0.9796, kb_relative_information_score: 8468.621, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.9928, recall: 0.9899, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1767, scimark_benchmark: 916.929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, build_cpu_time: 0.2068, build_memory: 415360884.4023, f_measure: 0.5586, kappa: 0.1979, kb_relative_information_score: 2169.8229, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.7351, predictive_accuracy: 0.6309, prior_entropy: 0.9928, recall: 0.6309, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2211, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, build_cpu_time: 0.2929, build_memory: 2352026268.4615, f_measure: 0.5586, kappa: 0.1979, kb_relative_information_score: 2169.8229, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.7351, predictive_accuracy: 0.6309, prior_entropy: 0.9928, recall: 0.6309, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2211, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.0098, build_memory: 161804356.0819, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895, scimark_benchmark: 922.5645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.7287, build_memory: 842863556.156, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.3487, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0163, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.3832, build_memory: 544515079.0057, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.1523, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0167, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.395, build_memory: 555958735.3658, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.1523, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0167, scimark_benchmark: 943.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.4517, build_memory: 1369611995.5181, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.1523, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0167, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2212, build_memory: 1518634939.5339, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8637.8329, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0096, root_relative_squared_error: 0.0193, scimark_benchmark: 947.4258,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs