Ax 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   44  0.5655  0.0047  0.0944  0.0925  0.3249  0.17
Ax 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 1998   51  0.4942  0.0049  0.0750  0.0718  0.3351  0.15
Barbosa 1983   38  0.6164  0.0041  0.1136  0.1111  0.4241  0.21
BenOr 1989   24  0.6616  0.0027  0.0927  0.2912  0.5627  0.40
Biret 1990   31  0.649  0.0218  0.1020  0.3710  0.6220  0.48
Brailowsky 1960   13  0.7011  0.0212  0.1911  0.642  0.7211  0.68
Chiu 1999   55  0.4560  0.0054  0.0846  0.0820  0.4147  0.18
Clidat 1994   47  0.5456  0.0043  0.0753  0.0724  0.2952  0.14
Cohen 1997   63  0.2662  0.0063  0.0558  0.0551  0.0563  0.05
Cortot 1951   58  0.4145  0.0056  0.0461  0.0419  0.4155  0.13
Csalog 1996   18  0.6714  0.0126  0.1025  0.293  0.7321  0.46
Czerny 1989   22  0.6634  0.0023  0.0922  0.366  0.6818  0.49
Ezaki 2006   25  0.6622  0.0025  0.0830  0.249  0.5530  0.36
Falvay 1989   3  0.756  0.075  0.332  0.803  0.657  0.72
Fiorentino 1962   2  0.757  0.054  0.233  0.803  0.812  0.80
Fliere 1977   41  0.608  0.0421  0.1124  0.343  0.5325  0.42
Fou 1978   14  0.7017  0.0010  0.1512  0.623  0.7212  0.67
Francois 1956   48  0.5327  0.0042  0.0656  0.0617  0.3553  0.14
Goldenweiser 1946   49  0.5219  0.0050  0.0845  0.0810  0.5242  0.20
Gornostaeva 1994   46  0.5448  0.0046  0.0849  0.089  0.4945  0.20
Groot 1988   12  0.7012  0.0111  0.1813  0.621  0.7213  0.67
Hatto 1993   23  0.6632  0.0028  0.0923  0.3416  0.5326  0.42
Hatto 1997   32  0.6457  0.0033  0.1235  0.1221  0.4436  0.23
Horszowski 1983   62  0.2758  0.0062  0.0560  0.0542  0.0562  0.05
Indjic 2001   20  0.6624  0.0024  0.1119  0.4316  0.5319  0.48
Katin 1996   15  0.7046  0.0014  0.1614  0.586  0.6914  0.63
Kiepura 1999   8  0.7210  0.029  0.188  0.711  0.813  0.76
Korecka 1992   35  0.6338  0.0036  0.1038  0.101  0.7533  0.27
Kushner 1990   33  0.6435  0.0037  0.1040  0.1019  0.4243  0.20
Lilamand 2001   60  0.3961  0.0061  0.0655  0.0622  0.2754  0.13
Luisada 1990   30  0.6463  0.0039  0.1633  0.1615  0.6131  0.31
Luisada 2008   43  0.5865  0.0044  0.0654  0.0625  0.4550  0.16
Lushtak 2004   28  0.6540  0.0022  0.1021  0.3711  0.5423  0.45
Malcuzynski 1951   1  0.771  0.281  0.281  0.833  0.791  0.81
Malcuzynski 1961   5  0.7315  0.017  0.195  0.744  0.669  0.70
Magaloff 1977   50  0.5050  0.0052  0.0751  0.0712  0.5146  0.19
Magin 1975   19  0.6752  0.0029  0.1129  0.2712  0.5528  0.39
Meguri 1997   53  0.4829  0.0053  0.1039  0.1020  0.3944  0.20
Milkina 1970   21  0.6621  0.0015  0.1515  0.5816  0.4417  0.51
Mohovich 1999   40  0.6020  0.0035  0.1041  0.106  0.5237  0.23
Nezu 2005   37  0.6136  0.0040  0.1137  0.1141  0.0957  0.10
Ohlsson 1999   34  0.6328  0.0038  0.1234  0.1223  0.3840  0.21
Olejniczak 1990   27  0.6523  0.0030  0.1028  0.2916  0.4729  0.37
Osinska 1989   4  0.744  0.093  0.174  0.744  0.736  0.73
Perlemuter 1992   59  0.4053  0.0058  0.0462  0.0411  0.3556  0.12
Poblocka 1999   29  0.6547  0.0034  0.1042  0.1016  0.5735  0.24
Rangell 2001   56  0.4330  0.0059  0.0657  0.0644  0.0564  0.05
Richter 1960   57  0.4344  0.0057  0.0463  0.0433  0.0860  0.06
Richter 1961   61  0.3525  0.0060  0.0559  0.0562  0.0465  0.04
Rosen 1989   16  0.6937  0.0017  0.1617  0.552  0.7115  0.62
Rubinstein 1939   36  0.6341  0.0019  0.1226  0.2911  0.6324  0.43
Rubinstein 1952   9  0.722  0.162  0.176  0.742  0.775  0.75
Rubinstein 1966   6  0.735  0.086  0.307  0.732  0.784  0.75
Rudanovskaya 2007   52  0.4839  0.0051  0.0847  0.082  0.6338  0.22
Shebanova 2002   54  0.4549  0.0055  0.0752  0.0737  0.0561  0.06
Smith 1975   10  0.7118  0.0013  0.1710  0.662  0.778  0.71
Sztompka 1959   42  0.5854  0.0045  0.0848  0.0815  0.5339  0.21
Tanyel 1992   17  0.6731  0.0020  0.1118  0.5021  0.4222  0.46
Tsujii 2005   7  0.733  0.108  0.179  0.674  0.7110  0.69
Uninsky 1959   11  0.7113  0.0116  0.1516  0.576  0.6516  0.61
Vardi 1988   39  0.6033  0.0032  0.1032  0.1921  0.4232  0.28
Wasowski 1980   45  0.5543  0.0048  0.0943  0.0925  0.3448  0.17
Zimerman 1975   26  0.6626  0.0031  0.1031  0.2424  0.3134  0.27
Random 1   65  0.0051  0.0065  0.0265  0.0218  0.2458  0.07
Random 2   66  -0.0466  0.0066  0.0166  0.0156  0.0466  0.02
Random 3   64  0.0059  0.0064  0.0264  0.0222  0.2359  0.07

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).