DEVELOPMENT... OpenML
Run
39017

Run 39017

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)_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
0.9685
Per class
Build CPU time
0.9183
Build memory
60396598.6261
F measure
0.945
Per class
Kappa
0.8791
KB relative information score
6834.3294
Mean absolute error
0.055
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
0.945
Per class
Predictive accuracy
0.945
Prior entropy
0.9348
Recall
0.945
Per class
Relative absolute error
0.1209
Root mean prior squared error
0.4771
Root mean squared error
0.2297
Root relative squared error
0.4814
SciMark benchmark
941.2105