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newton_hema

newton_hema

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
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Author: Michael Newton (newton@stat.wisc.edu) Source: [StatLib](http://lib.stat.cmu.edu/datasets/) - 11-6-93 Please cite: Data on fluctuating proportions of marked cells in marrow from heterozygous Safari cats from a study of early hematopoiesis. The data included below are 11 time series of proportions of marked progenitor cells from the bone marrow of the hybrid Safari cat. These data come from experiments done by J. L. Abkowitz and colleagues at the University of Washington, Seattle. There are four columns and a total of 140 records. The first column is an id for the cat in the study. The second colum records the time, in weeks from the start of monitoring, that the measurement from marrow is recorded. The third column gives the percent of domestic-type progenitor cells observed in a sample of cells at that time. The fourth column gives the sample size at that time, i.e. the number of progenitor cells analyzed. For background on the data, see: Abkowitz et al., 1988, Blood 71:1687--1692 Abkowitz et al., 1990, PNAS, 87:9062--9066 Abkowitz et al, 1993, Blood, 82:2096--2103 Guttorp et al., 1990, IMA J. Math. App. Med. Bio., 7:125--143 These particular data are used in an analysis by Newton et al, 1993 ``Stochastic Modeling of Early Hematopoiesis.''

4 features

cells_percentage (target)numeric66 unique values
0 missing
idnominal11 unique values
0 missing
weeksnumeric67 unique values
0 missing
sample_sizenumeric62 unique values
0 missing

19 properties

140
Number of instances (rows) of the dataset.
4
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
3
Number of numeric attributes.
1
Number of nominal attributes.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
-8.76
Average class difference between consecutive instances.
75
Percentage of numeric attributes.
0.03
Number of attributes divided by the number of instances.
25
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.

13 tasks

2 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: cells_percentage
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: cells_percentage
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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