Run
8148667

Run 8148667

Task 119 (Learning Curve) zoo Uploaded 18-10-2017 by Toon Van Craenendonck
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Flow

TESTb729eb6219sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.S tandardScaler,dummy=sklearn.dummy.DummyClassifier)(1)Automatically created scikit-learn flow.
TESTb729eb6219sklearn.preprocessing.data.StandardScaler(1)_copytrue
TESTb729eb6219sklearn.preprocessing.data.StandardScaler(1)_with_meanfalse
TESTb729eb6219sklearn.preprocessing.data.StandardScaler(1)_with_stdtrue
TESTb729eb6219sklearn.dummy.DummyClassifier(1)_constantnull
TESTb729eb6219sklearn.dummy.DummyClassifier(1)_random_state62501
TESTb729eb6219sklearn.dummy.DummyClassifier(1)_strategy"prior"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

15 Evaluation measures

Area under ROC curve
0.4283
Per class
KB relative information score
11.2743 ± 0.0248
Mean absolute error
0.2173 ± 0.0046
Mean prior absolute error
0.2188 ± 0.0049
Number of instances
1010
Per class
Predictive accuracy
0.4059 ± 0.0559
Prior entropy
2.4427
Recall
0.4059 ± 0.0559
Per class
Relative absolute error
0.9934 ± 0.0015
Root mean prior squared error
0.3294 ± 0.0075
Root mean squared error
0.3299 ± 0.0079
Root relative squared error
1.0015 ± 0.0016