DEVELOPMENT... OpenML
Run
163866

Run 163866

Task 50 (Supervised Classification) heart-h Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.9014
Per class
F measure
0.8201
Per class
Kappa
0.605
KB relative information score
165.6887
Mean absolute error
0.0714
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8211
Per class
Predictive accuracy
0.8231
Prior entropy
1.0314
Recall
0.8231
Per class
Relative absolute error
0.3823
Root mean prior squared error
0.3037
Root mean squared error
0.2509
Root relative squared error
0.8263
SciMark benchmark
926.6717
UserCPU time millis
60
UserCPU time millis training
60