DEVELOPMENT... OpenML
Run
37135

Run 37135

Task 4390 (Supervised Classification) chatfield_4 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
0.9106
Per class
Build CPU time
0.2305
Build memory
1236966864.7489
F measure
0.8833
Per class
Kappa
0.757
KB relative information score
1760.2513
Mean absolute error
0.1178
Mean prior absolute error
0.4784
Number of instances
2350
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8842
Per class
Predictive accuracy
0.883
Prior entropy
0.9689
Recall
0.883
Per class
Relative absolute error
0.2463
Root mean prior squared error
0.489
Root mean squared error
0.3372
Root relative squared error
0.6895
SciMark benchmark
920.6195