OpenML
Supervised Classification on one-hundred-plants-texture

Supervised Classification on one-hundred-plants-texture

Task 9956 Supervised Classification one-hundred-plants-texture 12911 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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12911 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3391, kappa: -0.0035, kb_relative_information_score: 19.7069, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8088, kappa: 0.8073, kb_relative_information_score: 1379.4487, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8148, predictive_accuracy: 0.8093, prior_entropy: 6.6438, recall: 0.8093, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.7409, kappa: 0.7536, kb_relative_information_score: 1101.0843, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7648, predictive_accuracy: 0.7561, prior_entropy: 6.6438, recall: 0.7561, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.7356, kappa: 0.7423, kb_relative_information_score: 1212.8942, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7403, predictive_accuracy: 0.7448, prior_entropy: 6.6438, recall: 0.7448, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, kb_relative_information_score: 16.7568, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.6723, kappa: 0.6987, kb_relative_information_score: 930.7528, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7252, predictive_accuracy: 0.7017, prior_entropy: 6.6438, recall: 0.7017, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8476, kappa: 0.8421, kb_relative_information_score: 967.9858, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8614, predictive_accuracy: 0.8437, prior_entropy: 6.6438, recall: 0.8437, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, kappa: 0.151, kb_relative_information_score: 116.03, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1595, prior_entropy: 6.6438, recall: 0.1595, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, kappa: 0.3853, kb_relative_information_score: 469.0156, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3915, prior_entropy: 6.6438, recall: 0.3915, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, kappa: 0.0028, kb_relative_information_score: 35.6062, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0125, prior_entropy: 6.6438, recall: 0.0125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8487, kappa: 0.844, kb_relative_information_score: 968.3343, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8599, predictive_accuracy: 0.8455, prior_entropy: 6.6438, recall: 0.8455, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, kappa: 0.7391, kb_relative_information_score: 1040.5518, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7417, prior_entropy: 6.6438, recall: 0.7417, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, kappa: 0.5313, kb_relative_information_score: 0.2227, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.536, prior_entropy: 6.6438, recall: 0.536, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8012, kappa: 0.7972, kb_relative_information_score: 941.195, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8129, predictive_accuracy: 0.7992, prior_entropy: 6.6438, recall: 0.7992, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.7088, kb_relative_information_score: 929.8758, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7117, prior_entropy: 6.6438, recall: 0.7117, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8018, kappa: 0.7953, kb_relative_information_score: 943.264, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.815, predictive_accuracy: 0.7974, prior_entropy: 6.6438, recall: 0.7974, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, kappa: 0.2767, kb_relative_information_score: 504.8841, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2839, prior_entropy: 6.6438, recall: 0.2839, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.7464, kappa: 0.7448, kb_relative_information_score: 860.7575, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7638, predictive_accuracy: 0.7473, prior_entropy: 6.6438, recall: 0.7473, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, kappa: 0.7536, kb_relative_information_score: 1091.2115, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7561, prior_entropy: 6.6438, recall: 0.7561, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.7659, kappa: 0.7581, kb_relative_information_score: 929.9139, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7818, predictive_accuracy: 0.7605, prior_entropy: 6.6438, recall: 0.7605, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.7037, kb_relative_information_score: 987.0892, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7067, prior_entropy: 6.6438, recall: 0.7067, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, kappa: 0.1851, kb_relative_information_score: 243.1155, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1932, prior_entropy: 6.6438, recall: 0.1932, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8145, kappa: 0.8092, kb_relative_information_score: 945.9792, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8258, predictive_accuracy: 0.8111, prior_entropy: 6.6438, recall: 0.8111, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.6882, kappa: 0.7037, kb_relative_information_score: 1115.9011, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.699, predictive_accuracy: 0.7067, prior_entropy: 6.6438, recall: 0.7067, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3924, kappa: -0.0006, kb_relative_information_score: 25.5137, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4213, kappa: -0.0029, kb_relative_information_score: 20.7971, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0069, prior_entropy: 6.6438, recall: 0.0069, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, kappa: 0.5256, kb_relative_information_score: 1021.75, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.5303, prior_entropy: 6.6438, recall: 0.5303, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.748, kappa: 0.753, kb_relative_information_score: 0.6657, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.754, predictive_accuracy: 0.7555, prior_entropy: 6.6438, recall: 0.7555, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.855, kappa: 0.8497, kb_relative_information_score: 970.9676, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8684, predictive_accuracy: 0.8512, prior_entropy: 6.6438, recall: 0.8512, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.7127, kappa: 0.7284, kb_relative_information_score: 1059.7264, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7453, predictive_accuracy: 0.7311, prior_entropy: 6.6438, recall: 0.7311, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7363, kappa: 0.7404, kb_relative_information_score: 1210.5205, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7425, predictive_accuracy: 0.743, prior_entropy: 6.6438, recall: 0.743, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, kappa: 0.6191, kb_relative_information_score: 958.3702, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6229, prior_entropy: 6.6438, recall: 0.6229, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3275, kappa: -0.0035, kb_relative_information_score: 32.7116, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, kappa: 0.6905, kb_relative_information_score: 930.2604, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6936, prior_entropy: 6.6438, recall: 0.6936, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.513, kappa: 0.5433, kb_relative_information_score: 0.1942, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5542, predictive_accuracy: 0.5478, prior_entropy: 6.6438, recall: 0.5478, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, kb_relative_information_score: 34.352, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, kappa: 0.741, kb_relative_information_score: 1026.3309, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7436, prior_entropy: 6.6438, recall: 0.7436, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.794, kappa: 0.7865, kb_relative_information_score: 885.5173, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8151, predictive_accuracy: 0.7886, prior_entropy: 6.6438, recall: 0.7886, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8086, kappa: 0.8124, kb_relative_information_score: 1213.7392, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8191, predictive_accuracy: 0.8143, prior_entropy: 6.6438, recall: 0.8143, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, kb_relative_information_score: 30.6949, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.8465, kappa: 0.8402, kb_relative_information_score: 963.4381, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8615, predictive_accuracy: 0.8418, prior_entropy: 6.6438, recall: 0.8418, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.6507, kappa: 0.657, kb_relative_information_score: 810.3614, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6594, predictive_accuracy: 0.6604, prior_entropy: 6.6438, recall: 0.6604, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, kappa: 0.6305, kb_relative_information_score: 1098.2427, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6341, prior_entropy: 6.6438, recall: 0.6341, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.7684, kappa: 0.7751, kb_relative_information_score: 1164.8798, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7807, predictive_accuracy: 0.7774, prior_entropy: 6.6438, recall: 0.7774, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, kappa: 0.6349, kb_relative_information_score: 1013.0657, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6385, prior_entropy: 6.6438, recall: 0.6385, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.7427, kappa: 0.7246, kb_relative_information_score: 1219.0317, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7817, predictive_accuracy: 0.7273, prior_entropy: 6.6438, recall: 0.7273, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8187, kappa: 0.8136, kb_relative_information_score: 936.6756, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8283, predictive_accuracy: 0.8155, prior_entropy: 6.6438, recall: 0.8155, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.7742, kappa: 0.7663, kb_relative_information_score: 848.873, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.797, predictive_accuracy: 0.7686, prior_entropy: 6.6438, recall: 0.7686, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.6514, kappa: 0.6766, kb_relative_information_score: 925.5854, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7036, predictive_accuracy: 0.6798, prior_entropy: 6.6438, recall: 0.6798, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.7052, kappa: 0.7151, kb_relative_information_score: 0.392, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7174, predictive_accuracy: 0.7179, prior_entropy: 6.6438, recall: 0.7179, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8334, kappa: 0.8263, kb_relative_information_score: 964.4501, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8488, predictive_accuracy: 0.828, prior_entropy: 6.6438, recall: 0.828, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3168, kappa: -0.009, kb_relative_information_score: 16.594, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0006, prior_entropy: 6.6438, recall: 0.0006, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.7638, kappa: 0.7562, kb_relative_information_score: 927.0686, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.778, predictive_accuracy: 0.7586, prior_entropy: 6.6438, recall: 0.7586, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.7576, kappa: 0.7568, kb_relative_information_score: 918.6718, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7685, predictive_accuracy: 0.7592, prior_entropy: 6.6438, recall: 0.7592, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.705, kappa: 0.7126, kb_relative_information_score: 1183.2744, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7103, predictive_accuracy: 0.7154, prior_entropy: 6.6438, recall: 0.7154, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6943,

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

OpenML APIs