7811327
3886
Benjamin Strang
3481
Supervised Classification
7122
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
5838497
memory
null
7122
axis
0
7123
copy
true
7123
missing_values
"NaN"
7123
strategy
"mean"
7123
verbose
0
7123
class_weight
null
7124
criterion
"gini"
7124
max_depth
null
7124
max_features
null
7124
max_leaf_nodes
null
7124
min_impurity_decrease
0.0
7124
min_impurity_split
null
7124
min_samples_leaf
1
7124
min_samples_split
2
7124
min_weight_fraction_leaf
0.0
7124
presort
false
7124
random_state
32626
7124
splitter
"best"
7124
openml-python
Sklearn_0.19.0.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
16546609
description
https://api.openml.org/data/download/16546609/description.xml
-1
16546610
predictions
https://api.openml.org/data/download/16546610/predictions.arff
area_under_roc_curve
0.9037628654117038 [0.877265,0.856131,0.945266,0.884531,0.811198,0.923441,0.883998,0.965399,0.931132,0.898465,0.906399,0.922466,0.881553,0.852998,0.932599,0.853264,0.925599,0.963333,0.960133,0.878465,0.931132,0.823731,0.849865,0.958066,0.965199,0.916265]
average_cost
0
f_measure
0.8149019961138958 [0.769748,0.723333,0.910017,0.75974,0.664336,0.856661,0.75,0.934891,0.876897,0.786992,0.82,0.860034,0.768719,0.722689,0.874372,0.700162,0.859532,0.923841,0.923333,0.762852,0.876897,0.668919,0.722034,0.912397,0.930233,0.828947]
kappa
0.80752594632579
kb_relative_information_score
6336.638713737546
mean_absolute_error
0.014236244709504074
mean_prior_absolute_error
0.07396449117237175
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
precision
0.8153128526749167 [0.776271,0.723333,0.927336,0.740506,0.698529,0.861017,0.722222,0.936455,0.887372,0.768254,0.82,0.870307,0.764901,0.728814,0.878788,0.681388,0.862416,0.917763,0.923333,0.759076,0.887372,0.678082,0.734483,0.904918,0.927152,0.818182]
predictive_accuracy
0.8149288187764525
prior_entropy
4.700438289429255
recall
0.8149288187764525 [0.763333,0.723333,0.893333,0.78,0.633333,0.852349,0.78,0.933333,0.866667,0.806667,0.82,0.85,0.772575,0.716667,0.87,0.72,0.856667,0.93,0.923333,0.766667,0.866667,0.66,0.71,0.92,0.933333,0.84]
relative_absolute_error
0.19247404374522073
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.11931573538098013
root_relative_squared_error
0.6204418486788215
total_cost
0
area_under_roc_curve
0.8940000000000002 [0.86,0.809333,0.963333,0.929333,0.756667,0.914,0.909333,0.966,0.914,0.876667,0.848,0.880667,0.878667,0.841333,0.948,0.892667,0.896667,0.948,0.982667,0.880667,0.916,0.827333,0.812667,0.914667,0.980667,0.896667]
area_under_roc_curve
0.9126666666666668 [0.878667,0.86,0.982,0.924667,0.796,0.947333,0.876,0.982,0.898667,0.912667,0.928667,0.965333,0.879333,0.862,0.932667,0.843333,0.965333,0.997333,0.964667,0.896667,0.916667,0.844,0.845333,0.933333,0.98,0.916667]
area_under_roc_curve
0.9053333333333334 [0.929333,0.845333,0.932,0.879333,0.880667,0.894,0.844,0.965333,0.914,0.863333,0.912,0.930667,0.865333,0.843333,0.980667,0.894,0.946667,0.932667,0.947333,0.893333,0.93,0.810667,0.844667,0.983333,0.964667,0.912]
area_under_roc_curve
0.9033333333333333 [0.848667,0.877333,0.915333,0.828667,0.860667,0.862,0.878667,0.932,0.898,0.895333,0.944667,0.966,0.929333,0.878667,0.914,0.795333,0.966,0.981333,0.912667,0.826667,0.981333,0.858,0.86,0.981333,0.948667,0.946]
area_under_roc_curve
0.8919999999999998 [0.91,0.795333,0.916,0.861333,0.762,0.880667,0.942,0.915333,0.947333,0.962667,0.882,0.896667,0.824,0.81,0.964,0.892,0.898667,0.948,0.898667,0.874667,0.946667,0.792,0.811333,0.996667,0.966,0.898]
area_under_roc_curve
0.8906666666666667 [0.863333,0.859333,0.949333,0.791333,0.792,0.931333,0.926667,0.981333,0.983333,0.877333,0.876667,0.911333,0.878,0.83,0.913333,0.726667,0.878667,0.95,0.982,0.862,0.914,0.827333,0.844667,0.929333,0.966,0.912]
area_under_roc_curve
0.9106666666666667 [0.88,0.962,0.948667,0.913333,0.83,0.947333,0.927333,0.966667,0.946667,0.879333,0.913333,0.914667,0.878667,0.811333,0.881333,0.776667,0.931333,0.980667,0.966667,0.946667,0.88,0.844,0.876667,0.997333,0.964667,0.912]
area_under_roc_curve
0.9078816199376947 [0.911994,0.846662,0.931331,0.927325,0.827993,0.981998,0.745995,0.99733,0.931331,0.87866,0.962661,0.930663,0.927701,0.879996,0.914664,0.874655,0.895995,0.948665,0.999332,0.809324,0.948665,0.795327,0.911994,0.915332,0.965999,0.943992]
area_under_roc_curve
0.9045429461504229 [0.87866,0.82599,0.949332,0.845995,0.793324,0.928368,0.909991,0.965999,0.948665,0.909324,0.864664,0.931998,0.863996,0.911994,0.94733,0.911326,0.945327,0.965332,0.964664,0.831331,0.896662,0.809324,0.843324,0.963996,0.982666,0.929328]
area_under_roc_curve
0.9165554072096126 [0.811994,0.879996,0.965332,0.943992,0.812661,0.948276,0.879996,0.981998,0.929328,0.929328,0.931331,0.896662,0.891989,0.861326,0.929996,0.92599,0.931331,0.981331,0.982666,0.963329,0.981331,0.829328,0.847997,0.965332,0.932666,0.895995]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.796862091163406 [0.709677,0.633333,0.888889,0.83871,0.52459,0.847458,0.757576,0.949153,0.847458,0.730159,0.777778,0.807018,0.766667,0.65625,0.9,0.738462,0.813559,0.9,0.966667,0.807018,0.892857,0.677966,0.690909,0.862069,0.920635,0.813559]
f_measure
0.8324465374918559 [0.766667,0.709677,0.95082,0.753623,0.666667,0.885246,0.71875,0.95082,0.857143,0.819672,0.825397,0.933333,0.779661,0.745763,0.912281,0.688525,0.933333,0.9375,0.918033,0.813559,0.909091,0.7,0.724138,0.928571,0.90625,0.909091]
f_measure
0.8178933168057138 [0.83871,0.724138,0.896552,0.779661,0.807018,0.761905,0.7,0.933333,0.847458,0.77193,0.806452,0.866667,0.814815,0.688525,0.920635,0.761905,0.870968,0.912281,0.885246,0.75,0.852459,0.655172,0.711864,0.983051,0.918033,0.806452]
f_measure
0.8138792504734819 [0.792453,0.741935,0.877193,0.701754,0.721311,0.745763,0.766667,0.896552,0.842105,0.786885,0.830769,0.949153,0.83871,0.766667,0.847458,0.654545,0.949153,0.935484,0.819672,0.666667,0.935484,0.676923,0.709677,0.935484,0.915254,0.857143]
f_measure
0.7920584325260378 [0.769231,0.654545,0.892857,0.733333,0.603774,0.807018,0.782609,0.877193,0.885246,0.875,0.836364,0.813559,0.625,0.644068,0.903226,0.727273,0.857143,0.9,0.857143,0.69697,0.870968,0.6,0.666667,0.923077,0.949153,0.842105]
f_measure
0.7892499140819554 [0.77193,0.698413,0.931034,0.590164,0.6,0.881356,0.787879,0.935484,0.983051,0.741935,0.730159,0.793651,0.754098,0.727273,0.833333,0.518519,0.766667,0.947368,0.95082,0.745763,0.847458,0.677966,0.711864,0.83871,0.949153,0.806452]
f_measure
0.827010459833486 [0.793103,0.861538,0.915254,0.833333,0.727273,0.885246,0.8,0.965517,0.870968,0.779661,0.833333,0.862069,0.766667,0.666667,0.821429,0.596491,0.881356,0.920635,0.965517,0.870968,0.793103,0.7,0.730159,0.9375,0.918033,0.806452]
f_measure
0.8209767987944644 [0.806452,0.75,0.881356,0.8,0.689655,0.95082,0.588235,0.9375,0.881356,0.766667,0.875,0.866667,0.847458,0.793103,0.862069,0.69697,0.8,0.915254,0.983607,0.633333,0.915254,0.654545,0.806452,0.877193,0.949153,0.818182]
f_measure
0.8163151759965905 [0.766667,0.655738,0.931034,0.736842,0.62069,0.862069,0.769231,0.949153,0.915254,0.757576,0.8,0.896552,0.785714,0.806452,0.885246,0.793651,0.84375,0.933333,0.918033,0.754717,0.813559,0.633333,0.688525,0.903226,0.966667,0.83871]
f_measure
0.838730583293613 [0.678571,0.793103,0.933333,0.818182,0.690909,0.945455,0.793103,0.95082,0.83871,0.83871,0.881356,0.813559,0.727273,0.733333,0.852459,0.776119,0.881356,0.935484,0.966667,0.888889,0.935484,0.714286,0.777778,0.933333,0.912281,0.8]
kappa
0.7879999999999999
kappa
0.8253333333333334
kappa
0.8106666666666666
kappa
0.8066666666666666
kappa
0.7839999999999999
kappa
0.7813333333333333
kappa
0.8213333333333334
kappa
0.8157638118872119
kappa
0.8090882604970008
kappa
0.8331182508221979
kb_relative_information_score
619.0876713622793
kb_relative_information_score
647.4255077935235
kb_relative_information_score
636.2874555726701
kb_relative_information_score
633.2516729654361
kb_relative_information_score
616.0450246257979
kb_relative_information_score
614.0300096649268
kb_relative_information_score
644.3897320177911
kb_relative_information_score
639.3479979285939
kb_relative_information_score
634.2775306880105
kb_relative_information_score
652.4961111177283
mean_absolute_error
0.015680473372781032
mean_absolute_error
0.012919132149901357
mean_absolute_error
0.014003944773175516
mean_absolute_error
0.014299802761341195
mean_absolute_error
0.01597633136094671
mean_absolute_error
0.016173570019723832
mean_absolute_error
0.013214990138067036
mean_absolute_error
0.01362693788881206
mean_absolute_error
0.01412066752246467
mean_absolute_error
0.012343240841315275
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396448587535052
mean_prior_absolute_error
0.07396447325283656
mean_prior_absolute_error
0.07396447325283656
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.801247153033439 [0.6875,0.633333,0.848485,0.8125,0.516129,0.862069,0.694444,0.965517,0.862069,0.69697,0.875,0.851852,0.766667,0.617647,0.9,0.685714,0.827586,0.9,0.966667,0.851852,0.961538,0.689655,0.76,0.892857,0.878788,0.827586]
precision
0.8377509993343512 [0.766667,0.6875,0.935484,0.666667,0.75,0.870968,0.676471,0.935484,0.923077,0.806452,0.787879,0.933333,0.793103,0.758621,0.962963,0.677419,0.933333,0.882353,0.903226,0.827586,1,0.7,0.75,1,0.852941,1]
precision
0.8204245294302468 [0.8125,0.75,0.928571,0.793103,0.851852,0.727273,0.7,0.933333,0.862069,0.814815,0.78125,0.866667,0.916667,0.677419,0.878788,0.727273,0.84375,0.962963,0.870968,0.705882,0.83871,0.678571,0.724138,1,0.903226,0.78125]
precision
0.8171512877655573 [0.913043,0.71875,0.925926,0.740741,0.709677,0.758621,0.766667,0.928571,0.888889,0.774194,0.771429,0.965517,0.8125,0.766667,0.862069,0.72,0.965517,0.90625,0.806452,0.666667,0.90625,0.628571,0.6875,0.90625,0.931034,0.818182]
precision
0.7986960890187567 [0.714286,0.72,0.961538,0.733333,0.695652,0.851852,0.692308,0.925926,0.870968,0.823529,0.92,0.827586,0.588235,0.655172,0.875,0.666667,0.923077,0.9,0.923077,0.638889,0.84375,0.6,0.703704,0.857143,0.965517,0.888889]
precision
0.7915090171590451 [0.814815,0.666667,0.964286,0.580645,0.6,0.896552,0.722222,0.90625,1,0.71875,0.69697,0.757576,0.741935,0.8,0.833333,0.583333,0.766667,1,0.935484,0.758621,0.862069,0.689655,0.724138,0.8125,0.965517,0.78125]
precision
0.8289075846287322 [0.821429,0.8,0.931034,0.833333,0.8,0.870968,0.742857,1,0.84375,0.793103,0.833333,0.892857,0.766667,0.703704,0.884615,0.62963,0.896552,0.878788,1,0.84375,0.821429,0.7,0.69697,0.882353,0.903226,0.78125]
precision
0.8238539709246021 [0.78125,0.807692,0.896552,0.742857,0.714286,0.935484,0.714286,0.882353,0.896552,0.766667,0.823529,0.866667,0.833333,0.821429,0.892857,0.638889,0.8,0.931034,0.967742,0.633333,0.931034,0.72,0.78125,0.925926,0.965517,0.75]
precision
0.8199985936451152 [0.766667,0.645161,0.964286,0.777778,0.642857,0.862069,0.714286,0.965517,0.931034,0.694444,0.88,0.928571,0.846154,0.78125,0.870968,0.757576,0.794118,0.933333,0.903226,0.869565,0.827586,0.633333,0.677419,0.875,0.966667,0.8125]
precision
0.8424027289050258 [0.730769,0.821429,0.933333,0.75,0.76,1,0.821429,0.935484,0.8125,0.8125,0.896552,0.827586,0.666667,0.733333,0.83871,0.702703,0.896552,0.90625,0.966667,0.848485,0.90625,0.769231,0.875,0.933333,0.962963,0.8]
predictive_accuracy
0.7961538461538461
predictive_accuracy
0.8320512820512821
predictive_accuracy
0.8179487179487179
predictive_accuracy
0.8141025641025641
predictive_accuracy
0.7923076923076923
predictive_accuracy
0.7897435897435898
predictive_accuracy
0.8282051282051281
predictive_accuracy
0.8228498074454429
predictive_accuracy
0.8164313222079589
predictive_accuracy
0.8395378690629012
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
recall
0.7961538461538461 [0.733333,0.633333,0.933333,0.866667,0.533333,0.833333,0.833333,0.933333,0.833333,0.766667,0.7,0.766667,0.766667,0.7,0.9,0.8,0.8,0.9,0.966667,0.766667,0.833333,0.666667,0.633333,0.833333,0.966667,0.8]
recall
0.8320512820512821 [0.766667,0.733333,0.966667,0.866667,0.6,0.9,0.766667,0.966667,0.8,0.833333,0.866667,0.933333,0.766667,0.733333,0.866667,0.7,0.933333,1,0.933333,0.8,0.833333,0.7,0.7,0.866667,0.966667,0.833333]
recall
0.8179487179487179 [0.866667,0.7,0.866667,0.766667,0.766667,0.8,0.7,0.933333,0.833333,0.733333,0.833333,0.866667,0.733333,0.7,0.966667,0.8,0.9,0.866667,0.9,0.8,0.866667,0.633333,0.7,0.966667,0.933333,0.833333]
recall
0.8141025641025641 [0.7,0.766667,0.833333,0.666667,0.733333,0.733333,0.766667,0.866667,0.8,0.8,0.9,0.933333,0.866667,0.766667,0.833333,0.6,0.933333,0.966667,0.833333,0.666667,0.966667,0.733333,0.733333,0.966667,0.9,0.9]
recall
0.7923076923076923 [0.833333,0.6,0.833333,0.733333,0.533333,0.766667,0.9,0.833333,0.9,0.933333,0.766667,0.8,0.666667,0.633333,0.933333,0.8,0.8,0.9,0.8,0.766667,0.9,0.6,0.633333,1,0.933333,0.8]
recall
0.7897435897435897 [0.733333,0.733333,0.9,0.6,0.6,0.866667,0.866667,0.966667,0.966667,0.766667,0.766667,0.833333,0.766667,0.666667,0.833333,0.466667,0.766667,0.9,0.966667,0.733333,0.833333,0.666667,0.7,0.866667,0.933333,0.833333]
recall
0.8282051282051283 [0.766667,0.933333,0.9,0.833333,0.666667,0.9,0.866667,0.933333,0.9,0.766667,0.833333,0.833333,0.766667,0.633333,0.766667,0.566667,0.866667,0.966667,0.933333,0.9,0.766667,0.7,0.766667,1,0.933333,0.833333]
recall
0.8228498074454429 [0.833333,0.7,0.866667,0.866667,0.666667,0.966667,0.5,1,0.866667,0.766667,0.933333,0.866667,0.862069,0.766667,0.833333,0.766667,0.8,0.9,1,0.633333,0.9,0.6,0.833333,0.833333,0.933333,0.9]
recall
0.8164313222079589 [0.766667,0.666667,0.9,0.7,0.6,0.862069,0.833333,0.933333,0.9,0.833333,0.733333,0.866667,0.733333,0.833333,0.9,0.833333,0.9,0.933333,0.933333,0.666667,0.8,0.633333,0.7,0.933333,0.966667,0.866667]
recall
0.8395378690629012 [0.633333,0.766667,0.933333,0.9,0.633333,0.896552,0.766667,0.966667,0.866667,0.866667,0.866667,0.8,0.8,0.733333,0.866667,0.866667,0.866667,0.966667,0.966667,0.933333,0.966667,0.666667,0.7,0.933333,0.866667,0.8]
relative_absolute_error
0.2119999999999983
relative_absolute_error
0.1746666666666653
relative_absolute_error
0.18933333333333185
relative_absolute_error
0.1933333333333318
relative_absolute_error
0.2159999999999982
relative_absolute_error
0.2186666666666649
relative_absolute_error
0.17866666666666525
relative_absolute_error
0.18423622807000928
relative_absolute_error
0.1909114863049895
relative_absolute_error
0.16688066984701888
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230767088031558
root_mean_prior_squared_error
0.19230763806177284
root_mean_prior_squared_error
0.19230763806177284
root_mean_squared_error
0.12522169689307452
root_mean_squared_error
0.11366236030411016
root_mean_squared_error
0.1183382641970699
root_mean_squared_error
0.11958178273190777
root_mean_squared_error
0.1263975132704228
root_mean_squared_error
0.12717535146294595
root_mean_squared_error
0.11495647062287115
root_mean_squared_error
0.1167344760077847
root_mean_squared_error
0.11883041497219754
root_mean_squared_error
0.111100138799712
root_relative_squared_error
0.6511527980955087
root_relative_squared_error
0.5910442502097611
root_relative_squared_error
0.6153589494916777
root_relative_squared_error
0.6218252456171385
root_relative_squared_error
0.6572670430159449
root_relative_squared_error
0.6613118014571236
root_relative_squared_error
0.5977736236012192
root_relative_squared_error
0.6070193428760076
root_relative_squared_error
0.6179183321570773
root_relative_squared_error
0.5777208847213054
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
10671.875
usercpu_time_millis
11234.375
usercpu_time_millis
10515.625
usercpu_time_millis
11046.875
usercpu_time_millis
10734.375
usercpu_time_millis
10828.125
usercpu_time_millis
10890.625
usercpu_time_millis
10781.25
usercpu_time_millis
10875
usercpu_time_millis
10625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
10656.25
usercpu_time_millis_training
11218.75
usercpu_time_millis_training
10500
usercpu_time_millis_training
11031.25
usercpu_time_millis_training
10718.75
usercpu_time_millis_training
10812.5
usercpu_time_millis_training
10875
usercpu_time_millis_training
10765.625
usercpu_time_millis_training
10859.375
usercpu_time_millis_training
10609.375