Run
503433

Run 503433

Task 10083 (Learning Curve) pc4 Uploaded 28-12-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_S1

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
0.9153 ± 0.0179
Per class
F measure
0.8824 ± 0.0237
Per class
Kappa
0.4322 ± 0.1577
KB relative information score
14.8434 ± 15.2353
Mean absolute error
0.1577 ± 0.0093
Mean prior absolute error
0.2148 ± 0.0021
Number of instances
1458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8792 ± 0.0266
Per class
Predictive accuracy
0.8868 ± 0.0207
Prior entropy
0.5368
Recall
0.8868 ± 0.0207
Per class
Relative absolute error
0.7346 ± 0.0463
Root mean prior squared error
0.3274 ± 0.0032
Root mean squared error
0.2685 ± 0.0104
Root relative squared error
0.8202 ± 0.0329
SciMark benchmark
1695.8489
UserCPU time millis
140
UserCPU time millis testing
10
UserCPU time millis training
130