Run
434797

Run 434797

Task 63 (Learning Curve) kr-vs-kp Uploaded 12-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I80
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.9867 ± 0.0055
Per class
F measure
0.9394 ± 0.0116
Per class
Kappa
0.8784 ± 0.0232
KB relative information score
0.8753 ± 0.0205
Mean absolute error
0.0632 ± 0.0101
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9407 ± 0.0112
Per class
Predictive accuracy
0.9395 ± 0.0115
Prior entropy
0.9986 ± 0.0002
Recall
0.9395 ± 0.0115
Per class
Relative absolute error
0.1266 ± 0.0202
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.217 ± 0.0217
Root relative squared error
0.4343 ± 0.0434
SciMark benchmark
903.7946
UserCPU time millis
400
UserCPU time millis testing
10
UserCPU time millis training
390