DEVELOPMENT... OpenML
Run
162095

Run 162095

Task 3730 (Supervised Classification) fri_c2_1000_50 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
0.8618
Per class
F measure
0.7936
Per class
Kappa
0.5773
KB relative information score
562.6022
Mean absolute error
0.2113
Mean prior absolute error
0.4866
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
0.7947
Per class
Predictive accuracy
0.793
Prior entropy
0.9806
Recall
0.793
Per class
Relative absolute error
0.4342
Root mean prior squared error
0.4932
Root mean squared error
0.4428
Root relative squared error
0.8977
SciMark benchmark
938.9865
UserCPU time millis
210
UserCPU time millis training
210