DEVELOPMENT... OpenML
Run
161457

Run 161457

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)_I10
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
0.8847
Per class
F measure
0.8076
Per class
Kappa
0.576
KB relative information score
155.8948
Mean absolute error
0.0782
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
0.8116
Per class
Predictive accuracy
0.8129
Prior entropy
1.0314
Recall
0.8129
Per class
Relative absolute error
0.4189
Root mean prior squared error
0.3037
Root mean squared error
0.2652
Root relative squared error
0.8733
SciMark benchmark
933.8635
UserCPU time millis
10
UserCPU time millis training
10