DEVELOPMENT... OpenML
Run
144388

Run 144388

Task 3695 (Supervised Classification) fri_c2_250_10 Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_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.

22 Evaluation measures

Area under ROC curve
0.9285
Per class
F measure
0.9074
Per class
Kappa
0.7989
KB relative information score
197.2708
Mean absolute error
0.0948
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9076
Per class
Predictive accuracy
0.908
Prior entropy
0.9468
Recall
0.908
Per class
Relative absolute error
0.2045
Root mean prior squared error
0.4812
Root mean squared error
0.2927
Root relative squared error
0.6083
SciMark benchmark
945.6434
UserCPU time millis
130
UserCPU time millis testing
10
UserCPU time millis training
120