Task
Supervised Classification on sleuth_case2002

Supervised Classification on sleuth_case2002

Task 4470 Supervised Classification sleuth_case2002 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6419, kappa: 0.3063, kb_relative_information_score: 252.0322, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6714, predictive_accuracy: 0.6476, prior_entropy: 0.9974, recall: 0.6476, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9523, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6886, kappa: 0.3784, kb_relative_information_score: 255.3173, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6923, predictive_accuracy: 0.6884, prior_entropy: 0.9974, recall: 0.6884, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9409, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6714, kappa: 0.3456, kb_relative_information_score: 304.2518, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6769, predictive_accuracy: 0.6714, prior_entropy: 0.9974, recall: 0.6714, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9955, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6503, kappa: 0.2979, kb_relative_information_score: 436.4624, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6503, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.1849, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6503, kappa: 0.2979, kb_relative_information_score: 436.4624, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6503, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.1849, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6714, kappa: 0.3455, kb_relative_information_score: 304.7825, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6767, predictive_accuracy: 0.6714, prior_entropy: 0.9974, recall: 0.6714, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9338, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.6417, kappa: 0.2845, kb_relative_information_score: 263.4458, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6449, predictive_accuracy: 0.6415, prior_entropy: 0.9974, recall: 0.6415, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9385, scimark_benchmark: 938.191, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6551, kappa: 0.3212, kb_relative_information_score: 275.1908, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6705, predictive_accuracy: 0.6571, prior_entropy: 0.9974, recall: 0.6571, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9593, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6503, kappa: 0.2979, kb_relative_information_score: 436.4624, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6503, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.1849, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6503, kappa: 0.2979, kb_relative_information_score: 436.4624, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6503, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.1849, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6501, kappa: 0.3121, kb_relative_information_score: 281.3646, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6663, predictive_accuracy: 0.6524, prior_entropy: 0.9974, recall: 0.6524, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9597, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6181, kappa: 0.2329, kb_relative_information_score: 227.3411, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6179, predictive_accuracy: 0.6184, prior_entropy: 0.9974, recall: 0.6184, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0161, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6419, kappa: 0.3063, kb_relative_information_score: 252.0322, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6714, predictive_accuracy: 0.6476, prior_entropy: 0.9974, recall: 0.6476, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9523, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6886, kappa: 0.3784, kb_relative_information_score: 255.3173, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6923, predictive_accuracy: 0.6884, prior_entropy: 0.9974, recall: 0.6884, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9409, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6714, kappa: 0.3456, kb_relative_information_score: 304.2518, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6769, predictive_accuracy: 0.6714, prior_entropy: 0.9974, recall: 0.6714, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9955, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6503, kappa: 0.2979, kb_relative_information_score: 436.4624, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6503, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.1849, scimark_benchmark: 904.5548, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6714, kappa: 0.3455, kb_relative_information_score: 304.7825, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6767, predictive_accuracy: 0.6714, prior_entropy: 0.9974, recall: 0.6714, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9338, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.6417, kappa: 0.2845, kb_relative_information_score: 263.4458, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6449, predictive_accuracy: 0.6415, prior_entropy: 0.9974, recall: 0.6415, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9385, scimark_benchmark: 931.7096, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6551, kappa: 0.3212, kb_relative_information_score: 275.1908, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6705, predictive_accuracy: 0.6571, prior_entropy: 0.9974, recall: 0.6571, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9593, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6181, kappa: 0.2329, kb_relative_information_score: 227.3411, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6179, predictive_accuracy: 0.6184, prior_entropy: 0.9974, recall: 0.6184, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0161, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6505, kappa: 0.3114, kb_relative_information_score: 194.7001, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6647, predictive_accuracy: 0.6524, prior_entropy: 0.9974, recall: 0.6524, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9484, scimark_benchmark: 908.9569, usercpu_time_millis: 600, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.6456, kappa: 0.3023, kb_relative_information_score: 194.2807, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6604, predictive_accuracy: 0.6476, prior_entropy: 0.9974, recall: 0.6476, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9487, scimark_benchmark: 934.695, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6475, kappa: 0.3065, kb_relative_information_score: 195.6822, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6629, predictive_accuracy: 0.6497, prior_entropy: 0.9974, recall: 0.6497, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9487, scimark_benchmark: 921.466, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.6395, kappa: 0.2923, kb_relative_information_score: 194.6617, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6566, predictive_accuracy: 0.6422, prior_entropy: 0.9974, recall: 0.6422, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9513, scimark_benchmark: 921.2615, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6321, kappa: 0.2773, kb_relative_information_score: 191.3518, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6483, predictive_accuracy: 0.6347, prior_entropy: 0.9974, recall: 0.6347, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9527, scimark_benchmark: 914.3583, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6938, kappa: 0.4006, kb_relative_information_score: 368.6276, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.716, predictive_accuracy: 0.6966, prior_entropy: 0.9974, recall: 0.6966, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6938, kappa: 0.4006, kb_relative_information_score: 368.6276, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.716, predictive_accuracy: 0.6966, prior_entropy: 0.9974, recall: 0.6966, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6938, kappa: 0.4006, kb_relative_information_score: 368.6276, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.716, predictive_accuracy: 0.6966, prior_entropy: 0.9974, recall: 0.6966, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6938, kappa: 0.4006, kb_relative_information_score: 368.6276, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.716, predictive_accuracy: 0.6966, prior_entropy: 0.9974, recall: 0.6966, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6938, kappa: 0.4006, kb_relative_information_score: 368.6276, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.716, predictive_accuracy: 0.6966, prior_entropy: 0.9974, recall: 0.6966, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3679, kb_relative_information_score: -0.3376, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.2815, predictive_accuracy: 0.5306, prior_entropy: 0.9974, recall: 0.5306, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6856, kappa: 0.3798, kb_relative_information_score: 497.0674, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6996, predictive_accuracy: 0.6871, prior_entropy: 0.9974, recall: 0.6871, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.0482, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6942, kappa: 0.3979, kb_relative_information_score: 512.7538, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.7104, predictive_accuracy: 0.6959, prior_entropy: 0.9974, recall: 0.6959, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0389, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7017, kappa: 0.4127, kb_relative_information_score: 533.6336, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.7183, predictive_accuracy: 0.7034, prior_entropy: 0.9974, recall: 0.7034, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0255, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6181, kappa: 0.2329, kb_relative_information_score: 227.3411, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6179, predictive_accuracy: 0.6184, prior_entropy: 0.9974, recall: 0.6184, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0161, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6501, kappa: 0.3121, kb_relative_information_score: 281.3646, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6663, predictive_accuracy: 0.6524, prior_entropy: 0.9974, recall: 0.6524, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9597, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.6417, kappa: 0.2845, kb_relative_information_score: 263.4458, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6449, predictive_accuracy: 0.6415, prior_entropy: 0.9974, recall: 0.6415, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9385, scimark_benchmark: 1333.202, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6886, kappa: 0.3784, kb_relative_information_score: 255.3173, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6923, predictive_accuracy: 0.6884, prior_entropy: 0.9974, recall: 0.6884, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9409, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6714, kappa: 0.3456, kb_relative_information_score: 304.2518, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6769, predictive_accuracy: 0.6714, prior_entropy: 0.9974, recall: 0.6714, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9955, scimark_benchmark: 1307.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6501, kappa: 0.3121, kb_relative_information_score: 281.3646, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6663, predictive_accuracy: 0.6524, prior_entropy: 0.9974, recall: 0.6524, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9597, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6551, kappa: 0.3212, kb_relative_information_score: 275.1908, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6705, predictive_accuracy: 0.6571, prior_entropy: 0.9974, recall: 0.6571, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9593, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6181, kappa: 0.2329, kb_relative_information_score: 227.3411, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6179, predictive_accuracy: 0.6184, prior_entropy: 0.9974, recall: 0.6184, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0161, scimark_benchmark: 1332.6745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6714, kappa: 0.3456, kb_relative_information_score: 304.2518, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6769, predictive_accuracy: 0.6714, prior_entropy: 0.9974, recall: 0.6714, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9955, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6503, kappa: 0.2979, kb_relative_information_score: 436.4624, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6503, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5913, root_relative_squared_error: 1.1849, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6474, kappa: 0.3088, kb_relative_information_score: 256.1304, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.666, predictive_accuracy: 0.6503, prior_entropy: 0.9974, recall: 0.6503, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.963, scimark_benchmark: 1329.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6419, kappa: 0.3063, kb_relative_information_score: 252.0322, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4982, number_of_instances: 1470, precision: 0.6714, predictive_accuracy: 0.6476, prior_entropy: 0.9974, recall: 0.6476, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9523, scimark_benchmark: 1331.7953,

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

OpenML bootcamp

From your own software

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

OpenML APIs