DEVELOPMENT... OpenML
Run
165263

Run 165263

Task 3734 (Supervised Classification) fri_c1_500_5 Uploaded 17-02-2015 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)_I160
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
0.9409
Per class
F measure
0.8577
Per class
Kappa
0.7138
KB relative information score
357.4336
Mean absolute error
0.1421
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8583
Per class
Predictive accuracy
0.858
Prior entropy
0.9967
Recall
0.858
Per class
Relative absolute error
0.2855
Root mean prior squared error
0.4988
Root mean squared error
0.3486
Root relative squared error
0.6987
SciMark benchmark
894.7455
UserCPU time millis
210
UserCPU time millis testing
10
UserCPU time millis training
200