Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   26  0.8734  0.0023  0.1022  0.2620  0.3118  0.28
Bacha 1997   34  0.8548  0.0036  0.0646  0.0629  0.1447  0.09
Barbosa 1983   5  0.9110  0.013  0.233  0.632  0.712  0.67
Biret 1990   35  0.848  0.0137  0.0735  0.0731  0.1346  0.10
Block 1995   43  0.8019  0.0044  0.0929  0.0910  0.5222  0.22
Brailowsky 1960   31  0.8633  0.0035  0.0642  0.0625  0.2042  0.11
Chiu 1999   29  0.8720  0.0025  0.0924  0.1710  0.4617  0.28
Clidat 1994   8  0.904  0.074  0.167  0.528  0.437  0.47
Cohen 1997   37  0.8428  0.0033  0.0830  0.0811  0.3933  0.18
Cortot 1951   41  0.8145  0.0043  0.0645  0.0629  0.1150  0.08
Csalog 1996   9  0.9017  0.007  0.218  0.5219  0.379  0.44
Czerny 1990   12  0.8929  0.0011  0.1413  0.4018  0.3013  0.35
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   10  0.9011  0.0117  0.1219  0.2911  0.4412  0.36
Fliere 1977   19  0.8827  0.0030  0.0928  0.0933  0.0848  0.08
Fou 1978   33  0.8613  0.0127  0.0737  0.075  0.6325  0.21
Francois 1956   25  0.875  0.0322  0.1020  0.2722  0.3916  0.32
Grinberg 1951   21  0.8840  0.0028  0.0734  0.0719  0.4532  0.18
Hatto 1993   15  0.8949  0.0015  0.1114  0.3731  0.1227  0.21
Hatto 1997   20  0.8852  0.0016  0.1216  0.3635  0.1128  0.20
Indjic 2001   17  0.8825  0.0013  0.2211  0.4423  0.2614  0.34
Jonas 1947   11  0.8914  0.0112  0.189  0.4622  0.2315  0.33
Kapell 1951   2  0.922  0.152  0.294  0.5816  0.456  0.51
Kiepura 1999   40  0.829  0.0142  0.0831  0.084  0.5821  0.22
Kushner 1989   27  0.8721  0.0024  0.0725  0.1621  0.2826  0.21
Luisada 1991   36  0.8443  0.0040  0.0449  0.0436  0.0851  0.06
Lushtak 2004   38  0.8430  0.0041  0.0641  0.0625  0.1844  0.10
Magaloff 1978   39  0.846  0.0238  0.0644  0.065  0.5829  0.19
Meguri 1997   24  0.8732  0.0014  0.1215  0.3632  0.1030  0.19
Milkina 1970   32  0.8612  0.0132  0.1227  0.127  0.5620  0.26
Mohovich 1999   1  0.931  0.481  0.471  0.731  0.771  0.75
Niedzielski 1931   42  0.8035  0.0039  0.0736  0.0734  0.1049  0.08
Ohlsson 1999   23  0.8818  0.0029  0.0832  0.0817  0.4034  0.18
Olejniczak 1990   16  0.8846  0.0018  0.0923  0.2522  0.3019  0.27
Osinska 1989   13  0.893  0.119  0.1912  0.418  0.655  0.52
Rangell 2001   45  0.7523  0.0045  0.0643  0.0615  0.4337  0.16
Richter 1976   6  0.9037  0.008  0.206  0.553  0.683  0.61
Rubinstein 1938   46  0.7436  0.0046  0.0738  0.0717  0.3040  0.14
Rubinstein 1952   44  0.7916  0.0034  0.0640  0.064  0.6231  0.19
Rubinstein 1961   49  0.7026  0.0048  0.0547  0.0518  0.4041  0.14
Rubinstein 1966   48  0.7022  0.0049  0.0733  0.0719  0.4035  0.17
Shebanova 2002   3  0.9244  0.005  0.165  0.589  0.504  0.54
Smidowicz 1948   14  0.8931  0.0019  0.1317  0.3426  0.1424  0.22
Smidowicz 1948b   18  0.8841  0.0021  0.1218  0.3026  0.1623  0.22
Smith 1975   47  0.7138  0.0047  0.0548  0.0515  0.4638  0.15
Sofronitsky 1949   30  0.8739  0.0026  0.0639  0.0622  0.3739  0.15
Sztompka 1959   22  0.8842  0.0020  0.0921  0.279  0.5511  0.39
Tomsic 1995   4  0.917  0.026  0.182  0.6422  0.338  0.46
Uninsky 1971   7  0.9015  0.0110  0.1710  0.4617  0.3610  0.41
Wasowski 1980   28  0.8724  0.0031  0.1226  0.1221  0.2136  0.16
Random 1   51  0.0051  0.0051  0.0251  0.0231  0.0552  0.03
Random 2   52  0.0050  0.0052  0.0252  0.025  0.4643  0.10
Random 3   50  0.0547  0.0050  0.0350  0.0316  0.3245  0.10

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).