DEVELOPMENT... OpenML
Run
39759

Run 39759

Task 4574 (Supervised Classification) lymph 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
0.8902
Per class
Build CPU time
0.131
Build memory
959088707.4757
F measure
0.8647
Per class
Kappa
0.7267
KB relative information score
1074.2308
Mean absolute error
0.1352
Mean prior absolute error
0.4956
Number of instances
1480
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8648
Per class
Predictive accuracy
0.8649
Prior entropy
0.9937
Recall
0.8649
Per class
Relative absolute error
0.2729
Root mean prior squared error
0.4978
Root mean squared error
0.3636
Root relative squared error
0.7305
SciMark benchmark
945.0342