6125812
1
Jan van Rijn
9956
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4159720
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
C
217.14719451208123
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.02774043994641251
6953
decision_function_shape
null
6953
degree
5
6953
gamma
0.7663935378418655
6953
kernel
"poly"
6953
max_iter
-1
6953
probability
true
6953
random_state
52203
6953
shrinking
true
6953
tol
0.0015340759203152667
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
13178673
description
https://api.openml.org/data/download/13178673/description.xml
-1
13178674
predictions
https://api.openml.org/data/download/13178674/predictions.arff
area_under_roc_curve
0.4513624109280321 [0.45282,0.47406,0.496999,0.419575,0.449542,0.503001,0.50075,0.462453,0.482628,0.487563,0.510068,0.31025,0.493485,0.40927,0.533046,0.481364,0.457399,0.498934,0.458583,0.462374,0.39786,0.520412,0.361852,0.496052,0.538179,0.407494,0.364458,0.494117,0.322765,0.325845,0.522979,0.3125,0.52061,0.332912,0.411402,0.492814,0.40623,0.327898,0.508291,0.380291,0.472323,0.851034,0.396478,0.505212,0.532336,0.481049,0.497078,0.452227,0.487445,0.486418,0.351943,0.461781,0.474376,0.465453,0.501066,0.994828,0.310407,0.463953,0.489972,0.324029,0.391701,0.336781,0.479154,0.333583,0.495815,0.417048,0.484681,0.444765,0.463005,0.484799,0.513069,0.518912,0.388977,0.37804,0.401098,0.462887,0.495815,0.37725,0.468178,0.456925,0.515872,0.486458,0.480417,0.498895,0.423642,0.347836,0.479746,0.456175,0.458504,0.305512,0.429011,0.429051,0.429169,0.313092,0.454951,0.488511,0.40165,0.324542,0.505054,0.327227]
average_cost
0
kappa
0.004425523442000044
kb_relative_information_score
73.74430928020334
mean_absolute_error
0.01973142604366586
mean_prior_absolute_error
0.019799992711748222
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
predictive_accuracy
0.014383989993746092
prior_entropy
6.6438309601245775
recall
0.014383989993746092 [0,0,0,0,0,0,0,0,0,0,0,0.3125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0,0,0,0,0,0,0,0,0,0,0,0,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9965370356908424
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.09929043351901569
root_relative_squared_error
0.9979065982723605
total_cost
0
area_under_roc_curve
0.07690719289865461 [0.072785,0.037736,0.150943,0.031646,0.047468,0.117089,0.088608,0.081761,0.037975,0.120253,0.018868,0.072785,0.044304,0.031646,0.231013,0.031646,0.082278,0.037736,0.031646,0.031646,0.044025,0.262658,0.037975,0.072785,0.088608,0.031447,0.031447,0.094937,0.015823,0.056604,0.142405,0.025316,0.157233,0.025157,0.075472,0.066456,0.037736,0.025157,0.031646,0.094937,0.031646,0.993711,0.031447,0.056962,0.069182,0.018868,0.237342,0.044025,0.082278,0.066456,0.018868,0.031646,0.031447,0.060127,0.062893,0.996835,0.018987,0.075472,0.025157,0.018868,0.018868,0.044304,0.025157,0.018868,0.047468,0.047468,0.031646,0.056604,0.062893,0.072785,0.063291,0.037975,0.018868,0.050314,0.031646,0.041139,0.041139,0.041139,0.025157,0.018868,0.125786,0.031646,0.037975,0.044304,0.044025,0.031646,0.14557,0.050633,0.079114,0.018987,0.025316,0.050633,0.050314,0.018987,0.053797,0.044304,0.031447,0.018868,0.037975,0.018868]
area_under_roc_curve
0.0682462085025078 [0.085443,0.09434,0.018868,0.028481,0.047468,0.060127,0.041139,0.012579,0.044304,0.101266,0.012579,0.03481,0.025316,0.025316,0.06962,0.031646,0.028481,0.037736,0.025316,0.066456,0.053797,0.075949,0.03481,0.022152,0.164557,0.082278,0.220126,0.063291,0.009494,0.006329,0.110759,0.022152,0.075472,0.012579,0.106918,0.129747,0.037736,0.056604,0.037975,0.079114,0.031646,0.987421,0.031447,0.136076,0.025157,0.018868,0.091772,0.037736,0.03481,0.041139,0.012579,0.025316,0.012579,0.056962,0.018868,1,0.025157,0.062893,0.025157,0.012579,0.012579,0.031646,0.018868,0.025157,0.056962,0.082278,0.044304,0.18239,0.037736,0.082278,0.03481,0.03481,0.012579,0.031447,0.025316,0.025316,0.025316,0.044304,0.018868,0.018868,0.031447,0.06962,0.283019,0.025316,0.012579,0.012658,0.06962,0.056962,0.041139,0.009494,0.06962,0.041139,0.025157,0.012579,0.066456,0.072785,0.012579,0.018868,0.044304,0.025157]
area_under_roc_curve
0.06777401281745091 [0.085443,0.025157,0.031646,0.018987,0.050633,0.081761,0.044304,0.018868,0.056604,0.022152,0.018987,0.081761,0.041139,0.018987,0.028481,0.018987,0.053797,0.047468,0.025316,0.018868,0.037975,0.291139,0.060127,0.018868,0.157233,0.031646,0.025157,0.18038,0.012658,0.015823,0.136076,0.012579,0.047468,0.03481,0.082278,0.044025,0.018868,0.044304,0.044025,0.044025,0.037975,0.993711,0.062893,0.056962,0.161392,0.028481,0.037975,0.018987,0.037975,0.050314,0.018868,0.050633,0.044304,0.018987,0.113208,0.996835,0.012579,0.132075,0.025157,0.018868,0.018987,0.025157,0.031447,0.025157,0.044304,0.022152,0.018987,0.056604,0.025157,0.110759,0.018987,0.094937,0.03481,0.025157,0.022152,0.047468,0.018987,0.031447,0.022152,0.041139,0.031447,0.126582,0.025157,0.018987,0.031447,0.028481,0.142405,0.100629,0.056962,0.031447,0.031447,0.088608,0.028481,0.018868,0.050633,0.031447,0.037736,0.025316,0.031646,0.037736]
area_under_roc_curve
0.07982172000636897 [0.050633,0.056604,0.025316,0.025316,0.050633,0.081761,0.060127,0.06962,0.037736,0.053797,0.031646,0.012579,0.041139,0.025316,0.126582,0.028481,0.056962,0.053797,0.025316,0.031447,0.041139,0.268987,0.031646,0.132075,0.081761,0.031646,0.031447,0.332278,0.022152,0.006329,0.208861,0.012579,0.417722,0.025316,0.047468,0.125786,0.069182,0.056962,0.327044,0.031447,0.025316,0.987421,0.207547,0.110759,0.079114,0.044304,0.03481,0.047468,0.025157,0.037736,0.025157,0.028481,0.031646,0.050633,0.047468,0.996835,0.006289,0.037736,0.025157,0.018868,0.025316,0.062893,0.025157,0.031447,0.047468,0.025157,0.025316,0.031447,0.025157,0.063291,0.044304,0.082278,0.037975,0.031447,0.025316,0.028481,0.072785,0.050314,0.041139,0.025316,0.037736,0.047468,0.081761,0.028481,0.031447,0.037975,0.025316,0.037736,0.056962,0.018868,0.025157,0.066456,0.117089,0.025157,0.08805,0.044025,0.14557,0.031646,0.044304,0.031447]
area_under_roc_curve
0.08956069381418684 [0.06962,0.03481,0.360759,0.025157,0.044025,0.056604,0.025157,0.443038,0.069182,0.113208,0.031646,0.100629,0.069182,0.025316,0.062893,0.025157,0.066456,0.072785,0.025316,0.025157,0.03481,0.031447,0.047468,0.09434,0.748428,0.041139,0.03481,0.08805,0.03481,0.009494,0.163522,0.018868,0.079114,0.031646,0.06962,0.025157,0.060127,0.03481,0.062893,0.27673,0.037975,1,0.126582,0.088608,0.155063,0.085443,0.056962,0.072785,0.031447,0.062893,0.037975,0.031646,0.028481,0.037736,0.079114,0.990506,0.006289,0.053797,0.037975,0.022152,0.025316,0.025157,0.031646,0.018987,0.056604,0.056604,0.031646,0.06962,0.041139,0.075949,0.050314,0.031447,0.025316,0.06962,0.03481,0.025157,0.037736,0.025157,0.031646,0.031646,0.050633,0.047468,0.031447,0.031447,0.031646,0.028481,0.060127,0.113208,0.056962,0.012579,0.037736,0.107595,0.053797,0.018868,0.044025,0.044025,0.167722,0.025316,0.050633,0.031646]
area_under_roc_curve
0.09083646803598447 [0.100629,0.044304,0.126582,0.050314,0.075472,0.119497,0.044025,0.056962,0.037736,0.09434,0.037975,0.012579,0.037736,0.037975,0.037736,0.031447,0.053797,0.050633,0.050633,0.037736,0.053797,0.283019,0.072785,0.050314,0.081761,0.082278,0.037975,0.062893,0,0.003165,0.496855,0,0.196203,0.03481,0.088608,0.044025,0.044304,0.047468,0.037736,0.006289,0.037975,0.993671,0.120253,0.079114,0.237342,0.066456,0.044304,0.126582,0.037736,0.062893,0.037975,0.037736,0.120253,0.056604,0.056962,0.996835,0,0.155063,0.037975,0.028481,0.037975,0.018868,0.044304,0.025316,0.044025,0.037736,0.037975,0.120253,0.082278,0.098101,0.037736,0.069182,0.03481,0.06962,0.041139,0.050314,0.062893,0.031447,0.037975,0.053797,0.392405,0.056604,0.06962,0.044025,0.050633,0.031646,0.044304,0.09434,0.056962,0.025157,0.044025,0.044304,0.091772,0.022152,0.044025,0.056604,0.075949,0.037975,0.037975,0.041139]
area_under_roc_curve
0.07195908964254435 [0.138365,0.018987,0.025316,0.018868,0.031447,0.075949,0.018868,0.025316,0.050633,0.075472,0.091772,0.110759,0.037736,0.018868,0.018868,0.018868,0.018868,0.037975,0.018868,0.018987,0.056962,0.207547,0.150943,0.037975,0.189873,0.031646,0.050633,0.081761,0.018868,0.012658,0.018868,0.012658,0.031646,0.022152,0.041139,0.06962,0.053797,0.053797,0.050633,0.031646,0.018868,1,0.03481,0.062893,0.563291,0.044304,0.031447,0.10443,0.025157,0.041139,0.018987,0.018868,0.025316,0.08805,0.03481,0.987421,0.025316,0.107595,0.022152,0.012658,0.018987,0.028481,0.018987,0.047468,0.081761,0.031447,0.018868,0.088608,0.107595,0.119497,0.044025,0.018868,0.041139,0.161392,0.018868,0.018868,0.025157,0.037975,0.028481,0.025316,0.053797,0.018868,0.155063,0.018868,0.044304,0.012579,0.025157,0.03481,0.062893,0.015823,0.041139,0.163522,0.018987,0.012658,0.050314,0.028481,0.022152,0.018987,0.018868,0.031646]
area_under_roc_curve
0.07641509433962261 [0.238994,0.037975,0.10443,0.012579,0.075472,0.107595,0.031447,0.03481,0.050633,0.144654,0.063291,0,0.012579,0.025157,0.044025,0.012579,0.106918,0.079114,0.012579,0.091772,0.056604,0.194969,0.025157,0.031646,0.212025,0.069182,0.018987,0.245283,0,0,0.018868,0.003165,0.632911,0.015823,0.075949,0.158228,0.037975,0.031646,0.196203,0.015823,0.018868,0.974684,0.088608,0.081761,0.053797,0.037975,0.012579,0.028481,0.044304,0.053797,0.018987,0.012579,0.082278,0.025157,0.025316,0.987421,0.006329,0.056962,0.018987,0.012658,0.018987,0.012658,0.018987,0.015823,0.018868,0.082278,0.012579,0.098101,0.031646,0.138365,0.018868,0.012579,0.022152,0.041139,0.012579,0.050314,0.018868,0.022152,0.139241,0.037975,0.018987,0.012579,0.060127,0.025157,0.047468,0.018868,0.301887,0.03481,0.012579,0.009494,0.037975,0.09434,0.041139,0.012658,0.079114,0.028481,0.03481,0.018987,0.012579,0.031646]
area_under_roc_curve
0.08125820993551472 [0.037736,0.037975,0.044025,0.050633,0.107595,0.056962,0.031646,0.098101,0.031646,0.079114,0.031447,0.012658,0.03481,0.037736,0.158228,0.037975,0.062893,0.056604,0.050314,0.031646,0.08805,0.202532,0.037736,0.060127,0.110759,0.037736,0.037975,0.056962,0.012579,0.012579,0.094937,0.028481,0.037736,0.031447,0.056604,0.037975,0.050633,0.075472,0.031646,0.015823,0.044025,0.996835,0.047468,0.264151,0.471698,0.056604,0.037736,0.144654,0.212025,0.075949,0.031646,0.031447,0.031447,0.063291,0.037975,0.993711,0.015823,0.06962,0.031646,0.025316,0.031447,0.028481,0.031646,0.03481,0.18038,0.037975,0.031447,0.085443,0.041139,0.295597,0.044304,0.056962,0.056604,0.063291,0.037736,0.041139,0.03481,0.031646,0.031447,0.031447,0.25,0.062893,0.142405,0.031646,0.047468,0.018868,0.031447,0.050633,0.056604,0.015823,0.025316,0.119497,0.081761,0.025316,0.075949,0.037975,0.037975,0.08805,0.031447,0.047468]
area_under_roc_curve
0.07270228292302991 [0.14557,0.031847,0.025316,0.022293,0.471338,0.047771,0.038217,0.018987,0.028662,0.089172,0.025316,0.066879,0.015924,0.012658,0.070064,0.012739,0.037975,0.06962,0.012658,0.015924,0.025316,0.117834,0.082278,0.038217,0.426752,0.025316,0.015924,0.098726,0.012658,0.012658,0.210191,0.012739,0.018987,0.012658,0.063291,0.031847,0.038217,0.018987,0.022293,0.019108,0.025316,0.987261,0.041401,0.221519,0.455696,0.018987,0.132911,0.126582,0.057325,0.070064,0.019108,0.015924,0.037975,0.022293,0.056962,1,0.012739,0.057325,0.028662,0.012739,0.012658,0.022293,0.019108,0.019108,0.05414,0.047771,0.025316,0.089172,0.041401,0.037975,0.025478,0.019108,0.012658,0.028662,0.012658,0.019108,0.019108,0.019108,0.012658,0.018987,0.019108,0.092357,0.076433,0.031847,0.025478,0.012658,0.037975,0.05414,0.031646,0.006369,0.044586,0.14557,0.025316,0.015924,0.092357,0.041401,0.025316,0.012658,0.012658,0.022293]
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
kappa
0.012736334150779212
kappa
-0.012578118819713631
kappa
0.0000791076655327902
kappa
0.00003955539733396713
kappa
0
kappa
0
kappa
0.019026146117637754
kappa
-0.006209706126646362
kappa
0.0001582028160101251
kappa
0.006449028640096133
kb_relative_information_score
8.342380073922323
kb_relative_information_score
7.1489885585877255
kb_relative_information_score
7.667003535640324
kb_relative_information_score
7.5846008726087994
kb_relative_information_score
7.628532706715304
kb_relative_information_score
6.980591178044115
kb_relative_information_score
7.543206372199137
kb_relative_information_score
5.974580996352577
kb_relative_information_score
7.468434413416343
kb_relative_information_score
7.405990572716782
mean_absolute_error
0.019653082856070876
mean_absolute_error
0.019753621522165508
mean_absolute_error
0.019732139752210876
mean_absolute_error
0.019714534801569032
mean_absolute_error
0.01972733531054629
mean_absolute_error
0.019758693112603375
mean_absolute_error
0.019723036450190183
mean_absolute_error
0.019782771734781
mean_absolute_error
0.019736659161652865
mean_absolute_error
0.01973239177066219
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.01980002942907591
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.019799955856386102
mean_prior_absolute_error
0.01979995631910742
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1]
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1]
number_of_instances
160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2]
number_of_instances
159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2]
predictive_accuracy
0.025
predictive_accuracy
0
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.03125
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.018867924528301886
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
recall
0.025 [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03125 [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.018867924528301886 [0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9925784669395865
relative_absolute_error
0.9976561698013304
relative_absolute_error
0.9965712335373932
relative_absolute_error
0.9956820959376284
relative_absolute_error
0.9963285853291272
relative_absolute_error
0.9979160183950911
relative_absolute_error
0.9961151728441304
relative_absolute_error
0.9991321131355175
relative_absolute_error
0.996803190108486
relative_absolute_error
0.9965876415403992
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.0994985414402977
root_mean_squared_error
0.09908014117902288
root_mean_squared_error
0.09935452411646799
root_mean_squared_error
0.09926490013891562
root_mean_squared_error
0.09927619903537496
root_mean_squared_error
0.09925419404230683
root_mean_squared_error
0.09935989625367182
root_mean_squared_error
0.09923305716593925
root_mean_squared_error
0.09948105905353152
root_mean_squared_error
0.09933659027128301
root_mean_squared_error
0.09926311054010596
root_relative_squared_error
0.9957912337162766
root_relative_squared_error
0.9985488814198207
root_relative_squared_error
0.9976481280487068
root_relative_squared_error
0.9977616860423774
root_relative_squared_error
0.997540527907816
root_relative_squared_error
0.9986065839499543
root_relative_squared_error
0.9973318005324215
root_relative_squared_error
0.9998243184105539
root_relative_squared_error
0.9983723495320814
root_relative_squared_error
0.9976338256140871
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
2249.893125999999
usercpu_time_millis
2024.2566479999996
usercpu_time_millis
2040.7466920000008
usercpu_time_millis
2021.140099000002
usercpu_time_millis
2014.9601060000036
usercpu_time_millis
2027.120387
usercpu_time_millis
2044.7359550000003
usercpu_time_millis
2029.2289599999976
usercpu_time_millis
2128.3805089999996
usercpu_time_millis
2032.0069400000023
usercpu_time_millis_testing
132.4680229999995
usercpu_time_millis_testing
130.04815999999943
usercpu_time_millis_testing
131.8484479999995
usercpu_time_millis_testing
131.1082799999994
usercpu_time_millis_testing
125.7775520000024
usercpu_time_millis_testing
125.45663999999945
usercpu_time_millis_testing
126.08168299999889
usercpu_time_millis_testing
124.92843699999767
usercpu_time_millis_testing
125.86015999999844
usercpu_time_millis_testing
124.91503700000095
usercpu_time_millis_training
2117.4251029999996
usercpu_time_millis_training
1894.2084880000002
usercpu_time_millis_training
1908.8982440000013
usercpu_time_millis_training
1890.0318190000025
usercpu_time_millis_training
1889.1825540000013
usercpu_time_millis_training
1901.6637470000005
usercpu_time_millis_training
1918.6542720000014
usercpu_time_millis_training
1904.3005229999999
usercpu_time_millis_training
2002.520349000001
usercpu_time_millis_training
1907.0919030000014