DEVELOPMENT... OpenML
Run
162796

Run 162796

Task 3714 (Supervised Classification) fri_c0_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)_I20
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
0.8937
Per class
F measure
0.7754
Per class
Kappa
0.5573
KB relative information score
557.5214
Mean absolute error
0.2228
Mean prior absolute error
0.5
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
0.7967
Per class
Predictive accuracy
0.779
Prior entropy
1
Recall
0.779
Per class
Relative absolute error
0.4457
Root mean prior squared error
0.5
Root mean squared error
0.3938
Root relative squared error
0.7876
SciMark benchmark
933.8635
UserCPU time millis
230
UserCPU time millis training
230