DEVELOPMENT... OpenML
Run
40413

Run 40413

Task 4409 (Supervised Classification) kdd_el_nino-small 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)_I80
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
0.9616
Per class
Build CPU time
2.1961
Build memory
1111868912.844
F measure
0.9471
Per class
Kappa
0.8837
KB relative information score
6873.9437
Mean absolute error
0.0528
Mean prior absolute error
0.4553
Number of instances
7820
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9471
Per class
Predictive accuracy
0.9471
Prior entropy
0.9348
Recall
0.9471
Per class
Relative absolute error
0.1159
Root mean prior squared error
0.4771
Root mean squared error
0.2269
Root relative squared error
0.4755
SciMark benchmark
945.8425