10154684
287
Hugo Spee
3820
Supervised Classification
predictive_accuracy
8876
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
8080265
class_weight
null
8847
criterion
"gini"
8847
max_depth
null
8847
max_features
null
8847
max_leaf_nodes
null
8847
min_impurity_decrease
0.0
8847
min_impurity_split
null
8847
min_samples_leaf
1
8847
min_samples_split
2
8847
min_weight_fraction_leaf
0.0
8847
presort
false
8847
random_state
49950
8847
splitter
"best"
8847
memory
null
8876
copy
true
8877
fill_value
null
8877
missing_values
NaN
8877
strategy
"mean"
8877
verbose
0
8877
auto-jupyter-notebook
openml-python
Sklearn_0.20.1.
957
braziltourism
https://www.openml.org/data/download/53491/braziltourism.arff
-1
21229940
description
https://api.openml.org/data/download/21229940/description.xml
-1
21229939
predictions
https://api.openml.org/data/download/21229939/predictions.arff
area_under_roc_curve
0.6115348588251037 [0.611535,0.611535]
average_cost
0
f_measure
0.7214597900014775 [0.815873,0.402062]
kappa
0.21816516162805913
kb_relative_information_score
37.637031805428336
mean_absolute_error
0.2815533980582524
mean_prior_absolute_error
0.35291496646498893
number_of_instances
412 [318,94]
precision
0.7247628827483197 [0.823718,0.39]
predictive_accuracy
0.7184466019417475
prior_entropy
0.7770838015031094
recall
0.7184466019417476 [0.808176,0.414894]
relative_absolute_error
0.7977938733470631
root_mean_prior_squared_error
0.41964533283918903
root_mean_squared_error
0.5306160552209596
root_relative_squared_error
1.26443931028847
total_cost
0
area_under_roc_curve
0.60625 [0.60625,0.60625]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.5815972222222222 [0.581597,0.581597]
area_under_roc_curve
0.5572916666666666 [0.557292,0.557292]
area_under_roc_curve
0.6753472222222222 [0.675347,0.675347]
area_under_roc_curve
0.7083333333333334 [0.708333,0.708333]
area_under_roc_curve
0.6128472222222222 [0.612847,0.612847]
area_under_roc_curve
0.48611111111111116 [0.486111,0.486111]
area_under_roc_curve
0.4870967741935484 [0.487097,0.487097]
area_under_roc_curve
0.717741935483871 [0.717742,0.717742]
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
0.7142857142857143 [0.8125,0.4]
f_measure
0.7817235396182763 [0.861538,0.526316]
f_measure
0.6781966001478197 [0.766667,0.363636]
f_measure
0.6887544063410558 [0.793651,0.315789]
f_measure
0.7956393200295638 [0.878788,0.5]
f_measure
0.749501231195068 [0.813559,0.521739]
f_measure
0.7172305271439812 [0.806452,0.4]
f_measure
0.6408704688550645 [0.761905,0.210526]
f_measure
0.6274222140717647 [0.761905,0.210526]
f_measure
0.8181436927491446 [0.892308,0.588235]
kappa
0.21250000000000002
kappa
0.3883495145631067
kappa
0.1407185628742517
kappa
0.1101836393989985
kappa
0.3811320754716982
kappa
0.3473227206946453
kappa
0.20900321543408357
kappa
-0.026711185308848025
kappa
-0.026711185308848025
kappa
0.48473967684021535
kb_relative_information_score
4.213476294344378
kb_relative_information_score
13.863808812153904
kb_relative_information_score
-4.952900255000731
kb_relative_information_score
-1.736122749064212
kb_relative_information_score
14.347764780618334
kb_relative_information_score
4.697432262808807
kb_relative_information_score
1.4806547568722956
kb_relative_information_score
-8.16967776093723
kb_relative_information_score
-5.920812191929576
kb_relative_information_score
19.813407855562495
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.21428571428571427
mean_absolute_error
0.34146341463414637
mean_absolute_error
0.3170731707317073
mean_absolute_error
0.1951219512195122
mean_absolute_error
0.2682926829268293
mean_absolute_error
0.2926829268292683
mean_absolute_error
0.36585365853658536
mean_absolute_error
0.36585365853658536
mean_absolute_error
0.17073170731707318
mean_prior_absolute_error
0.35829307568437985
mean_prior_absolute_error
0.35829307568437985
mean_prior_absolute_error
0.34823848238482363
mean_prior_absolute_error
0.34823848238482363
mean_prior_absolute_error
0.34823848238482363
mean_prior_absolute_error
0.34823848238482363
mean_prior_absolute_error
0.34823848238482363
mean_prior_absolute_error
0.34823848238482363
mean_prior_absolute_error
0.36143513609049116
mean_prior_absolute_error
0.36143513609049116
number_of_instances
42 [32,10]
number_of_instances
42 [32,10]
number_of_instances
41 [32,9]
number_of_instances
41 [32,9]
number_of_instances
41 [32,9]
number_of_instances
41 [32,9]
number_of_instances
41 [32,9]
number_of_instances
41 [32,9]
number_of_instances
41 [31,10]
number_of_instances
41 [31,10]
precision
0.7142857142857143 [0.8125,0.4]
precision
0.7787397787397787 [0.848485,0.555556]
precision
0.7086571964620745 [0.821429,0.307692]
precision
0.6952793076317859 [0.806452,0.3]
precision
0.7911457265833162 [0.852941,0.571429]
precision
0.7878435927216414 [0.888889,0.428571]
precision
0.7302291204730229 [0.833333,0.363636]
precision
0.6481510621557829 [0.774194,0.2]
precision
0.6212737127371274 [0.75,0.222222]
precision
0.8191227710596434 [0.852941,0.714286]
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7857142857142857
predictive_accuracy
0.6585365853658537
predictive_accuracy
0.6829268292682927
predictive_accuracy
0.8048780487804877
predictive_accuracy
0.7317073170731707
predictive_accuracy
0.7073170731707318
predictive_accuracy
0.6341463414634146
predictive_accuracy
0.6341463414634146
predictive_accuracy
0.8292682926829268
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
prior_entropy
0.7770838015031094
recall
0.7142857142857143 [0.8125,0.4]
recall
0.7857142857142857 [0.875,0.5]
recall
0.6585365853658537 [0.71875,0.444444]
recall
0.6829268292682927 [0.78125,0.333333]
recall
0.8048780487804879 [0.90625,0.444444]
recall
0.7317073170731707 [0.75,0.666667]
recall
0.7073170731707317 [0.78125,0.444444]
recall
0.6341463414634146 [0.75,0.222222]
recall
0.6341463414634146 [0.774194,0.2]
recall
0.8292682926829268 [0.935484,0.5]
relative_absolute_error
0.797431781701445
relative_absolute_error
0.5980738362760838
relative_absolute_error
0.9805447470817127
relative_absolute_error
0.9105058365758761
relative_absolute_error
0.560311284046693
relative_absolute_error
0.7704280155642028
relative_absolute_error
0.8404669260700394
relative_absolute_error
1.0505836575875493
relative_absolute_error
1.0122249388753062
relative_absolute_error
0.47237163814180955
root_mean_prior_squared_error
0.4260050640463162
root_mean_prior_squared_error
0.4260050640463162
root_mean_prior_squared_error
0.41403589372607513
root_mean_prior_squared_error
0.41403589372607513
root_mean_prior_squared_error
0.41403589372607513
root_mean_prior_squared_error
0.41403589372607513
root_mean_prior_squared_error
0.41403589372607513
root_mean_prior_squared_error
0.41403589372607513
root_mean_prior_squared_error
0.4296770589631442
root_mean_prior_squared_error
0.4296770589631442
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.4629100498862757
root_mean_squared_error
0.5843487097907776
root_mean_squared_error
0.563092506371473
root_mean_squared_error
0.4417261042993862
root_mean_squared_error
0.5179697702828122
root_mean_squared_error
0.5410017808004594
root_mean_squared_error
0.6048583789091339
root_mean_squared_error
0.6048583789091339
root_mean_squared_error
0.4131969352706687
root_relative_squared_error
1.254732699061846
root_relative_squared_error
1.0866303923465734
root_relative_squared_error
1.4113479498890522
root_relative_squared_error
1.3600089144541976
root_relative_squared_error
1.0668787682249377
root_relative_squared_error
1.2510262470758138
root_relative_squared_error
1.306654299780068
root_relative_squared_error
1.4608839187003104
root_relative_squared_error
1.4077046151095909
root_relative_squared_error
0.9616453256028056
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
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0