DEVELOPMENT... OpenML
Run
162855

Run 162855

Task 3775 (Supervised Classification) fri_c2_1000_5 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
0.8956
Per class
F measure
0.811
Per class
Kappa
0.6143
KB relative information score
609.2902
Mean absolute error
0.1874
Mean prior absolute error
0.4859
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
0.8146
Per class
Predictive accuracy
0.81
Prior entropy
0.9796
Recall
0.81
Per class
Relative absolute error
0.3856
Root mean prior squared error
0.4929
Root mean squared error
0.4
Root relative squared error
0.8114
SciMark benchmark
933.8635
UserCPU time millis
80
UserCPU time millis training
80