DEVELOPMENT... OpenML
Run
35855

Run 35855

Task 4459 (Supervised Classification) sleuth_case1202 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)_I10
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
0.8411
Per class
Build CPU time
0.0168
Build memory
388577479.9742
F measure
0.7947
Per class
Kappa
0.5674
KB relative information score
514.4598
Mean absolute error
0.2079
Mean prior absolute error
0.475
Number of instances
930
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
0.7946
Prior entropy
0.9645
Recall
0.7946
Per class
Relative absolute error
0.4375
Root mean prior squared error
0.4871
Root mean squared error
0.4434
Root relative squared error
0.9104
SciMark benchmark
920.6195