DEVELOPMENT... OpenML
Run
161942

Run 161942

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)_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
0.8025
Per class
F measure
0.7283
Per class
Kappa
0.4476
KB relative information score
424.8206
Mean absolute error
0.2864
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
0.7305
Per class
Predictive accuracy
0.731
Prior entropy
0.9906
Recall
0.731
Per class
Relative absolute error
0.5803
Root mean prior squared error
0.4967
Root mean squared error
0.4578
Root relative squared error
0.9217
SciMark benchmark
938.9865
UserCPU time millis
100
UserCPU time millis training
100