DEVELOPMENT... OpenML
Run
162660

Run 162660

Task 3581 (Supervised Classification) fri_c3_1000_25 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)_I20
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
0.8648
Per class
F measure
0.7824
Per class
Kappa
0.5605
KB relative information score
532.717
Mean absolute error
0.233
Mean prior absolute error
0.4935
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7836
Per class
Predictive accuracy
0.782
Prior entropy
0.9906
Recall
0.782
Per class
Relative absolute error
0.4722
Root mean prior squared error
0.4967
Root mean squared error
0.4129
Root relative squared error
0.8312
SciMark benchmark
922.9039
UserCPU time millis
220
UserCPU time millis training
220