DEVELOPMENT... OpenML
Run
38028

Run 38028

Task 4450 (Supervised Classification) mv Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9998
Per class
Build CPU time
55.5201
Build memory
1043344864.9696
F measure
0.9962
Per class
Kappa
0.9921
KB relative information score
404253.1871
Mean absolute error
0.004
Mean prior absolute error
0.4813
Number of instances
407680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9962
Per class
Predictive accuracy
0.9962
Prior entropy
0.9729
Recall
0.9962
Per class
Relative absolute error
0.0084
Root mean prior squared error
0.4906
Root mean squared error
0.0563
Root relative squared error
0.1147
SciMark benchmark
938.4414