DEVELOPMENT... OpenML
Run
40024

Run 40024

Task 4607 (Supervised Classification) pc4 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
0.9028
Per class
Build CPU time
7.9829
Build memory
901271240.2947
F measure
0.9029
Per class
Kappa
0.5231
KB relative information score
6590.7703
Mean absolute error
0.0916
Mean prior absolute error
0.2148
Number of instances
14580
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9005
Per class
Predictive accuracy
0.9085
Prior entropy
0.5368
Recall
0.9085
Per class
Relative absolute error
0.4266
Root mean prior squared error
0.3274
Root mean squared error
0.2898
Root relative squared error
0.8853
SciMark benchmark
938.0657