Task
Supervised Classification on baseball

Supervised Classification on baseball

Task 2077 Supervised Classification baseball 770 runs submitted
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  • at2 study_1 study_107 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.9216, kappa: 0.5197, kb_relative_information_score: -3422.8832, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9209, predictive_accuracy: 0.9336, prior_entropy: 0.5456, recall: 0.9336, relative_absolute_error: 2.0632, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.2608, scimark_benchmark: 1484.9525, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.9163, kappa: 0.464, kb_relative_information_score: -3435.6835, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9181, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 2.0646, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.2612, scimark_benchmark: 1512.0773, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.875, kappa: 0.1113, kb_relative_information_score: -3544.8286, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8648, predictive_accuracy: 0.9119, prior_entropy: 0.5456, recall: 0.9119, relative_absolute_error: 2.1173, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.3033, scimark_benchmark: 1500.7201, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.92, kappa: 0.5158, kb_relative_information_score: 428.0301, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9159, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.8172, scimark_benchmark: 1323.8703, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.9221, kappa: 0.5266, kb_relative_information_score: 432.061, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9183, predictive_accuracy: 0.9291, prior_entropy: 0.5456, recall: 0.9291, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.8178, scimark_benchmark: 1563.286, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8624, kb_relative_information_score: -3718.1972, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 2.1686, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.3427, scimark_benchmark: 1548.1729, usercpu_time_millis: 3390, usercpu_time_millis_testing: 2390, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.9352, kappa: 0.6097, kb_relative_information_score: -3408.1515, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.934, predictive_accuracy: 0.9433, prior_entropy: 0.5456, recall: 0.9433, relative_absolute_error: 2.0461, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.2471, scimark_benchmark: 1524.0721, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1890, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.9352, kappa: 0.6097, kb_relative_information_score: -3408.1515, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.934, predictive_accuracy: 0.9433, prior_entropy: 0.5456, recall: 0.9433, relative_absolute_error: 2.0461, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.2471, scimark_benchmark: 1499.4533, usercpu_time_millis: 4390, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.931, kappa: 0.5799, kb_relative_information_score: -3426.5247, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9295, predictive_accuracy: 0.9403, prior_entropy: 0.5456, recall: 0.9403, relative_absolute_error: 2.0547, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3016, root_relative_squared_error: 1.2544, scimark_benchmark: 1511.5405, usercpu_time_millis: 3140, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.935, kappa: 0.6115, kb_relative_information_score: -3409.5479, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9342, predictive_accuracy: 0.9425, prior_entropy: 0.5456, recall: 0.9425, relative_absolute_error: 2.0475, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.2479, scimark_benchmark: 1472.5596, usercpu_time_millis: 850, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.9324, kappa: 0.5925, kb_relative_information_score: -3424.6918, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9314, predictive_accuracy: 0.941, prior_entropy: 0.5456, recall: 0.941, relative_absolute_error: 2.0532, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.2529, scimark_benchmark: 1463.428, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.8858, kappa: 0.2125, kb_relative_information_score: -3513.1664, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.872, predictive_accuracy: 0.9179, prior_entropy: 0.5456, recall: 0.9179, relative_absolute_error: 2.1017, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.2904, scimark_benchmark: 1458.8014, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.9212, kappa: 0.5259, kb_relative_information_score: 424.3543, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9175, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.8171, scimark_benchmark: 1604.4642, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.9215, kappa: 0.5237, kb_relative_information_score: 426.9628, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9177, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.8195, scimark_benchmark: 1560.6068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9202, kappa: 0.5025, kb_relative_information_score: 407.3449, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9174, predictive_accuracy: 0.9306, prior_entropy: 0.5456, recall: 0.9306, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.8257, scimark_benchmark: 1613.4006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.9299, kappa: 0.5722, kb_relative_information_score: 544.8704, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9268, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.7732, scimark_benchmark: 1808.021, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9285, kappa: 0.5574, kb_relative_information_score: 499.1514, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9264, predictive_accuracy: 0.9366, prior_entropy: 0.5456, recall: 0.9366, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.7874, scimark_benchmark: 1642.4953, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.9262, kappa: 0.5387, kb_relative_information_score: 461.1882, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9256, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.7921, scimark_benchmark: 1467.5875, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.9246, kappa: 0.5523, kb_relative_information_score: 550.7203, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9218, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.874, scimark_benchmark: 1711.3637, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.929, kappa: 0.5705, kb_relative_information_score: 550.8428, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8105, scimark_benchmark: 1648.1668, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9288, kappa: 0.558, kb_relative_information_score: 500.2881, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9272, predictive_accuracy: 0.9381, prior_entropy: 0.5456, recall: 0.9381, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.8003, scimark_benchmark: 1665.151, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 3.9002, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1619.267, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 2.8695, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1675.1599, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.877, kappa: 0.1264, kb_relative_information_score: 286.8475, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8702, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8784, kappa: 0.1395, kb_relative_information_score: 287.0383, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8709, predictive_accuracy: 0.9142, prior_entropy: 0.5456, recall: 0.9142, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 3.9002, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 2.8695, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8826, kappa: 0.1779, kb_relative_information_score: 304.5301, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8727, predictive_accuracy: 0.9164, prior_entropy: 0.5456, recall: 0.9164, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8878, kappa: 0.2316, kb_relative_information_score: 297.3253, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8735, predictive_accuracy: 0.9194, prior_entropy: 0.5456, recall: 0.9194, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9286, kappa: 0.5641, kb_relative_information_score: 481.8633, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9264, predictive_accuracy: 0.9381, prior_entropy: 0.5456, recall: 0.9381, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9011, kappa: 0.3638, kb_relative_information_score: 478.6671, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9067, predictive_accuracy: 0.9187, prior_entropy: 0.5456, recall: 0.9187, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9031, kappa: 0.4434, kb_relative_information_score: 264.5934, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8799, predictive_accuracy: 0.9276, prior_entropy: 0.5456, recall: 0.9276, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9285, kappa: 0.5646, kb_relative_information_score: 451.1863, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.184, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9273, kappa: 0.5584, kb_relative_information_score: 482.1089, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9241, predictive_accuracy: 0.9336, prior_entropy: 0.5456, recall: 0.9336, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9069, kappa: 0.4932, kb_relative_information_score: 325.7396, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8854, predictive_accuracy: 0.9299, prior_entropy: 0.5456, recall: 0.9299, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9057, kappa: 0.4781, kb_relative_information_score: 322.6873, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8836, predictive_accuracy: 0.9291, prior_entropy: 0.5456, recall: 0.9291, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9205, kappa: 0.4943, kb_relative_information_score: 522.9446, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9207, predictive_accuracy: 0.9343, prior_entropy: 0.5456, recall: 0.9343, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.183, root_relative_squared_error: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9211, kappa: 0.5105, kb_relative_information_score: 465.5726, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.918, predictive_accuracy: 0.9336, prior_entropy: 0.5456, recall: 0.9336, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9204, kappa: 0.529, kb_relative_information_score: 534.8164, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9182, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.929, kappa: 0.5705, kb_relative_information_score: 550.8428, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 3.9002, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 2.8695, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8709, kappa: 0.0721, kb_relative_information_score: 279.6324, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8678, predictive_accuracy: 0.9104, prior_entropy: 0.5456, recall: 0.9104, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8812, kappa: 0.1653, kb_relative_information_score: 290.4371, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8721, predictive_accuracy: 0.9157, prior_entropy: 0.5456, recall: 0.9157, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.8846, kappa: 0.2004, kb_relative_information_score: -3514.9993, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8713, predictive_accuracy: 0.9172, prior_entropy: 0.5456, recall: 0.9172, relative_absolute_error: 2.1031, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.2915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9288, kappa: 0.558, kb_relative_information_score: 500.2881, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9272, predictive_accuracy: 0.9381, prior_entropy: 0.5456, recall: 0.9381, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 2.8695, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.877, kappa: 0.1264, kb_relative_information_score: 304.3851, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8702, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 3.9002, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8755, kappa: 0.1131, kb_relative_information_score: 288.3598, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8696, predictive_accuracy: 0.9127, prior_entropy: 0.5456, recall: 0.9127, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8972, kappa: 0.3009, kb_relative_information_score: 492.8755, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9079, predictive_accuracy: 0.9209, prior_entropy: 0.5456, recall: 0.9209, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.9212, kappa: 0.5259, kb_relative_information_score: 424.3543, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9175, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.8171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.9215, kappa: 0.5237, kb_relative_information_score: 426.9628, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9177, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.9137, kappa: 0.4508, kb_relative_information_score: 486.6231, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9114, predictive_accuracy: 0.9276, prior_entropy: 0.5456, recall: 0.9276, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9202, kappa: 0.5025, kb_relative_information_score: 407.3449, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9174, predictive_accuracy: 0.9306, prior_entropy: 0.5456, recall: 0.9306, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.9192, kappa: 0.5157, kb_relative_information_score: 532.8899, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9166, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9402,

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