DEVELOPMENT... OpenML
Run
144365

Run 144365

Task 3662 (Supervised Classification) fri_c4_1000_50 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
0.9436
Per class
F measure
0.8899
Per class
Kappa
0.7764
KB relative information score
743.1607
Mean absolute error
0.1287
Mean prior absolute error
0.4928
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8899
Per class
Predictive accuracy
0.89
Prior entropy
0.9896
Recall
0.89
Per class
Relative absolute error
0.2612
Root mean prior squared error
0.4964
Root mean squared error
0.3114
Root relative squared error
0.6274
SciMark benchmark
935.8986
UserCPU time millis
3230
UserCPU time millis testing
10
UserCPU time millis training
3220