DEVELOPMENT... OpenML
Run
165515

Run 165515

Task 3895 (Supervised Classification) gina_prior 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
0.9257
Per class
F measure
0.8508
Per class
Kappa
0.7016
KB relative information score
2393.0777
Mean absolute error
0.1565
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8514
Per class
Predictive accuracy
0.8509
Prior entropy
0.9998
Recall
0.8509
Per class
Relative absolute error
0.313
Root mean prior squared error
0.4999
Root mean squared error
0.3543
Root relative squared error
0.7087
SciMark benchmark
894.7455
UserCPU time millis
91430
UserCPU time millis testing
30
UserCPU time millis training
91400