DEVELOPMENT... OpenML
Run
39475

Run 39475

Task 4511 (Supervised Classification) fri_c0_500_10 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)_I40
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
0.9393
Per class
Build CPU time
1.2505
Build memory
308828613.52
F measure
0.89
Per class
Kappa
0.7796
KB relative information score
3895.1417
Mean absolute error
0.1104
Mean prior absolute error
0.4994
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8901
Per class
Predictive accuracy
0.89
Prior entropy
0.9991
Recall
0.89
Per class
Relative absolute error
0.2211
Root mean prior squared error
0.4997
Root mean squared error
0.3222
Root relative squared error
0.6448
SciMark benchmark
941.4198