DEVELOPMENT... OpenML
Run
164238

Run 164238

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9654
Per class
F measure
0.8907
Per class
Kappa
0.7555
KB relative information score
589.3369
Mean absolute error
0.1091
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.898
Per class
Predictive accuracy
0.8939
Prior entropy
0.9348
Recall
0.8939
Per class
Relative absolute error
0.2397
Root mean prior squared error
0.4771
Root mean squared error
0.2856
Root relative squared error
0.5986
SciMark benchmark
936.7115
UserCPU time millis
140
UserCPU time millis testing
10
UserCPU time millis training
130