DEVELOPMENT... OpenML
Run
161976

Run 161976

Task 3612 (Supervised Classification) fri_c1_250_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
0.758
Per class
F measure
0.7126
Per class
Kappa
0.4146
KB relative information score
91.7756
Mean absolute error
0.3106
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7136
Per class
Predictive accuracy
0.712
Prior entropy
0.9852
Recall
0.712
Per class
Relative absolute error
0.6342
Root mean prior squared error
0.4948
Root mean squared error
0.4818
Root relative squared error
0.9738
SciMark benchmark
938.9865
UserCPU time millis
30
UserCPU time millis training
30