DEVELOPMENT... OpenML
Run
161990

Run 161990

Task 3629 (Supervised Classification) fri_c0_250_10 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
0.8257
Per class
F measure
0.7059
Per class
Kappa
0.424
KB relative information score
104.538
Mean absolute error
0.2916
Mean prior absolute error
0.5
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
0.7312
Per class
Predictive accuracy
0.712
Prior entropy
1
Recall
0.712
Per class
Relative absolute error
0.5832
Root mean prior squared error
0.5
Root mean squared error
0.4659
Root relative squared error
0.9317
SciMark benchmark
938.4285
UserCPU time millis
10
UserCPU time millis training
10