DEVELOPMENT... OpenML
Run
162005

Run 162005

Task 3641 (Supervised Classification) fri_c2_100_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
0.8266
Per class
F measure
0.7784
Per class
Kappa
0.546
KB relative information score
54.5255
Mean absolute error
0.2206
Mean prior absolute error
0.4904
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
0.7793
Per class
Predictive accuracy
0.78
Prior entropy
0.9864
Recall
0.78
Per class
Relative absolute error
0.4499
Root mean prior squared error
0.4951
Root mean squared error
0.4543
Root relative squared error
0.9177
SciMark benchmark
938.4278
UserCPU time millis
10
UserCPU time millis training
10