OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7646, kappa: 0.4234, kb_relative_information_score: 2159.8867, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7622, predictive_accuracy: 0.7691, prior_entropy: 0.8733, recall: 0.7691, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.6719, kappa: 0.209, kb_relative_information_score: 795.4275, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.672, predictive_accuracy: 0.6719, prior_entropy: 0.8733, recall: 0.6719, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.6373, kappa: 0.1167, kb_relative_information_score: 366.5975, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6338, predictive_accuracy: 0.6414, prior_entropy: 0.8733, recall: 0.6414, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5989, root_relative_squared_error: 1.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.8096, kappa: 0.5364, kb_relative_information_score: 2757.6497, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8083, predictive_accuracy: 0.8116, prior_entropy: 0.8733, recall: 0.8116, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, f_measure: 0.6709, kappa: 0.1805, kb_relative_information_score: 1764.8432, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7594, predictive_accuracy: 0.7409, prior_entropy: 0.8733, recall: 0.7409, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.509, root_relative_squared_error: 1.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8173, kappa: 0.5642, kb_relative_information_score: 2812.2281, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8198, predictive_accuracy: 0.8155, prior_entropy: 0.8733, recall: 0.8155, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.8533, kappa: 0.6473, kb_relative_information_score: 3337.22, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8538, predictive_accuracy: 0.8529, prior_entropy: 0.8733, recall: 0.8529, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5954, kappa: 0.0215, kb_relative_information_score: -262.3532, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5942, predictive_accuracy: 0.5966, prior_entropy: 0.8733, recall: 0.5966, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6351, root_relative_squared_error: 1.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7747, kappa: 0.4507, kb_relative_information_score: 2276.8403, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7728, predictive_accuracy: 0.7774, prior_entropy: 0.8733, recall: 0.7774, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.7653, kappa: 0.4265, kb_relative_information_score: 2157.2877, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.763, predictive_accuracy: 0.7689, prior_entropy: 0.8733, recall: 0.7689, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7915, kappa: 0.4925, kb_relative_information_score: 2505.5496, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.79, predictive_accuracy: 0.7937, prior_entropy: 0.8733, recall: 0.7937, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7969, kappa: 0.5088, kb_relative_information_score: 2560.128, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7963, predictive_accuracy: 0.7976, prior_entropy: 0.8733, recall: 0.7976, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8452, kappa: 0.6278, kb_relative_information_score: 3222.8653, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8457, predictive_accuracy: 0.8447, prior_entropy: 0.8733, recall: 0.8447, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8469, kappa: 0.6322, kb_relative_information_score: 3246.2561, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8476, predictive_accuracy: 0.8464, prior_entropy: 0.8733, recall: 0.8464, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5854, kappa: 0.0009, kb_relative_information_score: 1284.0338, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7927, predictive_accuracy: 0.7067, prior_entropy: 0.8733, recall: 0.7067, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.7704, kappa: 0.4393, kb_relative_information_score: 2224.8609, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7683, predictive_accuracy: 0.7737, prior_entropy: 0.8733, recall: 0.7737, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.8746, kappa: 0.6952, kb_relative_information_score: 3656.8933, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8756, prior_entropy: 0.8733, recall: 0.8756, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.6675, kappa: 0.1974, kb_relative_information_score: 738.2501, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6672, predictive_accuracy: 0.6678, prior_entropy: 0.8733, recall: 0.6678, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8704, kappa: 0.685, kb_relative_information_score: 3599.716, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8699, predictive_accuracy: 0.8716, prior_entropy: 0.8733, recall: 0.8716, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.7368, kappa: 0.3487, kb_relative_information_score: 1837.6144, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7334, predictive_accuracy: 0.7461, prior_entropy: 0.8733, recall: 0.7461, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8994, kappa: 0.7545, kb_relative_information_score: 4010.3532, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8995, predictive_accuracy: 0.9008, prior_entropy: 0.8733, recall: 0.9008, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7991, kappa: 0.5141, kb_relative_information_score: 2591.3157, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7986, predictive_accuracy: 0.7998, prior_entropy: 0.8733, recall: 0.7998, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.6092, kappa: 0.0576, kb_relative_information_score: -85.6233, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 0.8733, recall: 0.6092, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6252, root_relative_squared_error: 1.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7614, kappa: 0.4147, kb_relative_information_score: 2123.5011, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7588, predictive_accuracy: 0.7665, prior_entropy: 0.8733, recall: 0.7665, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7743, kappa: 0.449, kb_relative_information_score: 2279.4393, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7723, predictive_accuracy: 0.7776, prior_entropy: 0.8733, recall: 0.7776, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.6481, kappa: 0.1513, kb_relative_information_score: 462.7593, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.648, predictive_accuracy: 0.6482, prior_entropy: 0.8733, recall: 0.6482, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5931, root_relative_squared_error: 1.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.8157, kappa: 0.5584, kb_relative_information_score: 2799.2332, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8171, predictive_accuracy: 0.8146, prior_entropy: 0.8733, recall: 0.8146, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8706, kappa: 0.6856, kb_relative_information_score: 3599.716, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.87, predictive_accuracy: 0.8716, prior_entropy: 0.8733, recall: 0.8716, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.774, kappa: 0.4496, kb_relative_information_score: 2263.8455, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7722, predictive_accuracy: 0.7765, prior_entropy: 0.8733, recall: 0.7765, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.848, kappa: 0.6353, kb_relative_information_score: 3259.2509, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8489, predictive_accuracy: 0.8473, prior_entropy: 0.8733, recall: 0.8473, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.6525, kappa: 0.1623, kb_relative_information_score: 519.9367, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6526, predictive_accuracy: 0.6523, prior_entropy: 0.8733, recall: 0.6523, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5897, root_relative_squared_error: 1.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.7649, kappa: 0.4241, kb_relative_information_score: 2162.4856, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7625, predictive_accuracy: 0.7692, prior_entropy: 0.8733, recall: 0.7692, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8089, kappa: 0.5433, kb_relative_information_score: 2697.8734, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.811, predictive_accuracy: 0.8074, prior_entropy: 0.8733, recall: 0.8074, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.6651, kappa: 0.1932, kb_relative_information_score: 694.0677, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6654, predictive_accuracy: 0.6647, prior_entropy: 0.8733, recall: 0.6647, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8841, kappa: 0.7197, kb_relative_information_score: 3781.6438, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8838, predictive_accuracy: 0.8845, prior_entropy: 0.8733, recall: 0.8845, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8929, kappa: 0.7399, kb_relative_information_score: 3911.5923, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8926, predictive_accuracy: 0.8938, prior_entropy: 0.8733, recall: 0.8938, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3498, f_measure: 0.4606, kappa: -0.3002, kb_relative_information_score: -2175.1951, mean_absolute_error: 0.5396, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4608, predictive_accuracy: 0.4604, prior_entropy: 0.8733, recall: 0.4604, relative_absolute_error: 1.3011, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.7346, root_relative_squared_error: 1.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7737, kappa: 0.4446, kb_relative_information_score: 2295.0331, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7715, predictive_accuracy: 0.7787, prior_entropy: 0.8733, recall: 0.7787, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7596, kappa: 0.4098, kb_relative_information_score: 2102.7093, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.757, predictive_accuracy: 0.765, prior_entropy: 0.8733, recall: 0.765, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8668, kappa: 0.6766, kb_relative_information_score: 3545.1376, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8662, predictive_accuracy: 0.8677, prior_entropy: 0.8733, recall: 0.8677, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8837, kappa: 0.7182, kb_relative_information_score: 3779.0449, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8833, predictive_accuracy: 0.8843, prior_entropy: 0.8733, recall: 0.8843, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8659, kappa: 0.6752, kb_relative_information_score: 3529.5438, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8655, predictive_accuracy: 0.8666, prior_entropy: 0.8733, recall: 0.8666, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.8022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8704, kappa: 0.6846, kb_relative_information_score: 3602.3149, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8699, predictive_accuracy: 0.8718, prior_entropy: 0.8733, recall: 0.8718, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7864,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7723, kappa: 0.4451, kb_relative_information_score: 2243.0537, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7704, predictive_accuracy: 0.775, prior_entropy: 0.8733, recall: 0.775, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.7214, kappa: 0.3014, kb_relative_information_score: 1764.8432, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7215, predictive_accuracy: 0.7409, prior_entropy: 0.8733, recall: 0.7409, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.509, root_relative_squared_error: 1.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.7731, kappa: 0.4474, kb_relative_information_score: 2253.4496, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7713, predictive_accuracy: 0.7757, prior_entropy: 0.8733, recall: 0.7757, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8819, kappa: 0.7136, kb_relative_information_score: 3753.0552, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8814, predictive_accuracy: 0.8825, prior_entropy: 0.8733, recall: 0.8825, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7717, kappa: 0.4434, kb_relative_information_score: 2235.2568, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7698, predictive_accuracy: 0.7744, prior_entropy: 0.8733, recall: 0.7744, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.6375, kappa: 0.1257, kb_relative_information_score: 314.6181, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6374, predictive_accuracy: 0.6377, prior_entropy: 0.8733, recall: 0.6377, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6019, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8961, kappa: 0.7481, kb_relative_information_score: 3953.1759, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8958, predictive_accuracy: 0.8967, prior_entropy: 0.8733, recall: 0.8967, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7619, kappa: 0.4167, kb_relative_information_score: 2123.5011, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7594, predictive_accuracy: 0.7665, prior_entropy: 0.8733, recall: 0.7665, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8973, kappa: 0.7512, kb_relative_information_score: 3968.7697, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.897, predictive_accuracy: 0.8979, prior_entropy: 0.8733, recall: 0.8979, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,

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