DEVELOPMENT... OpenML
Run
162055

Run 162055

Task 3693 (Supervised Classification) fri_c4_100_100 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
0.8061
Per class
F measure
0.7968
Per class
Kappa
0.6061
KB relative information score
56.9299
Mean absolute error
0.2164
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8371
Per class
Predictive accuracy
0.8
Prior entropy
0.9975
Recall
0.8
Per class
Relative absolute error
0.4344
Root mean prior squared error
0.4991
Root mean squared error
0.4415
Root relative squared error
0.8846
SciMark benchmark
938.9865
UserCPU time millis
30
UserCPU time millis training
30