DEVELOPMENT... OpenML
Run
162884

Run 162884

Task 3800 (Supervised Classification) fri_c3_500_50 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
0.846
Per class
F measure
0.7836
Per class
Kappa
0.5582
KB relative information score
255.5632
Mean absolute error
0.2453
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7867
Per class
Predictive accuracy
0.786
Prior entropy
0.9882
Recall
0.786
Per class
Relative absolute error
0.4987
Root mean prior squared error
0.4959
Root mean squared error
0.4066
Root relative squared error
0.8199
SciMark benchmark
933.8635
UserCPU time millis
200
UserCPU time millis training
200