DEVELOPMENT... OpenML
Run
144335

Run 144335

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.8537
Per class
F measure
0.78
Per class
Kappa
0.5512
KB relative information score
54.1303
Mean absolute error
0.2237
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.78
Per class
Predictive accuracy
0.78
Prior entropy
0.9864
Recall
0.78
Per class
Relative absolute error
0.4561
Root mean prior squared error
0.4951
Root mean squared error
0.4353
Root relative squared error
0.8792
SciMark benchmark
945.6434
UserCPU time millis
10
UserCPU time millis training
10