Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.6418  0.0058  0.0459  0.0431  0.1160  0.07
Ashkenazy 1981   18  0.7852  0.0020  0.0721  0.3423  0.4223  0.38
Beliavsky 2004   38  0.7155  0.0030  0.0632  0.118  0.4733  0.23
BenOr 1989   12  0.807  0.0112  0.2111  0.5616  0.5313  0.54
Biret 1990   2  0.8512  0.012  0.363  0.714  0.675  0.69
Blet 2003   37  0.7113  0.0134  0.0642  0.068  0.5540  0.18
Block 1995   15  0.7815  0.0022  0.0827  0.267  0.5424  0.37
Brailowsky 1960   40  0.7010  0.0142  0.1133  0.116  0.5831  0.25
Chiu 1999   29  0.7526  0.0026  0.0724  0.2924  0.4327  0.35
Clidat 1994   34  0.7363  0.0038  0.0935  0.099  0.4735  0.21
Cohen 1997   58  0.6245  0.0059  0.0548  0.0526  0.2054  0.10
Coop 1987   10  0.8032  0.0013  0.2414  0.516  0.6112  0.56
Cortot 1951   32  0.7458  0.0037  0.0836  0.0815  0.4739  0.19
Czerny 1949   23  0.7634  0.0018  0.0917  0.415  0.6415  0.51
Czerny 1949b   44  0.6859  0.0045  0.0549  0.0532  0.1855  0.09
Ezaki 2006   21  0.7741  0.0027  0.0823  0.2923  0.4226  0.35
Falvay 1989   30  0.7554  0.0035  0.0546  0.0521  0.4246  0.14
Ferenczy 1958   57  0.6220  0.0044  0.0552  0.0513  0.4047  0.14
Fiorentino 1962   13  0.7928  0.007  0.167  0.647  0.706  0.67
Fliere 1977   19  0.783  0.0215  0.1313  0.526  0.659  0.58
Fou 1978   24  0.7653  0.0021  0.0920  0.3613  0.4717  0.41
Francois 1956   63  0.3657  0.0063  0.0645  0.0651  0.0564  0.05
Hatto 1997   50  0.6647  0.0057  0.0458  0.0434  0.0861  0.06
Horowitz 1971   45  0.675  0.0143  0.0547  0.058  0.4944  0.16
Horowitz 1985   59  0.619  0.0147  0.0554  0.058  0.4245  0.14
Indjic 2001   41  0.6856  0.0051  0.0463  0.0441  0.0763  0.05
Kapell 1951   14  0.7939  0.0014  0.1116  0.4123  0.3622  0.38
Kiepura 1999   52  0.6529  0.0054  0.0457  0.0422  0.3649  0.12
Kilenyi 1937   7  0.8111  0.0110  0.198  0.614  0.697  0.65
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kitain 1937   62  0.5830  0.0060  0.0455  0.0410  0.5048  0.14
Kushner 1990   48  0.6733  0.0052  0.0461  0.049  0.6143  0.16
Levy 1951   26  0.7546  0.0025  0.0722  0.3320  0.4521  0.39
Luisada 1990   28  0.7550  0.0036  0.0740  0.0722  0.4441  0.18
Lushtak 2004   51  0.6617  0.0056  0.0551  0.0522  0.3051  0.12
Lympany 1968   47  0.6721  0.0049  0.0643  0.0614  0.4742  0.17
Magaloff 1977   17  0.7840  0.0024  0.1518  0.4022  0.4218  0.41
Magaloff 1977b   16  0.7844  0.0023  0.0819  0.4022  0.4319  0.41
Magin 1975   22  0.7627  0.0028  0.0928  0.2414  0.5525  0.36
Milkina 1970   35  0.7236  0.0032  0.0731  0.136  0.5330  0.26
Mohovich 1999   27  0.7525  0.0019  0.0825  0.2913  0.5420  0.40
Nadelmann 1956   55  0.6262  0.0050  0.0462  0.0436  0.0762  0.05
Ohlsson 1999   33  0.7338  0.0040  0.0934  0.098  0.5334  0.22
Olejniczac 1990   6  0.814  0.014  0.254  0.706  0.714  0.70
Olejniczak 1991   9  0.8016  0.006  0.186  0.645  0.618  0.62
Osinska 1989   20  0.7724  0.0016  0.1215  0.4217  0.4416  0.43
Paderewski 1912   39  0.7143  0.0039  0.0839  0.088  0.5736  0.21
Perahia 1994   56  0.6219  0.0033  0.0838  0.085  0.4538  0.19
Perlemuter 1986   61  0.5964  0.0062  0.0741  0.0739  0.0859  0.07
Poblocka 1999   4  0.8242  0.008  0.199  0.6012  0.5410  0.57
Rangell 2001   11  0.808  0.0111  0.2212  0.538  0.6111  0.57
Risler 1920   43  0.6860  0.0041  0.0837  0.087  0.5037  0.20
Rosen 1989   60  0.6122  0.0061  0.0644  0.0629  0.1557  0.09
Rubinstein 1939   54  0.6348  0.0055  0.0460  0.0422  0.2653  0.10
Rubinstein 1952   36  0.7231  0.0031  0.0630  0.1311  0.4332  0.24
Rubinstein 1966   46  0.6735  0.0048  0.0553  0.0524  0.2950  0.12
Rummel 1943   49  0.6649  0.0046  0.0550  0.0519  0.3152  0.12
Shebanova 2002   42  0.6837  0.0053  0.0456  0.0427  0.1858  0.08
Smith 1975   8  0.8114  0.003  0.262  0.732  0.741  0.73
Szpilman 1948   3  0.832  0.085  0.255  0.661  0.792  0.72
Uninsky 1971   31  0.746  0.0117  0.1026  0.2616  0.4228  0.33
Wasowski 1980   25  0.7651  0.0029  0.1129  0.2325  0.3129  0.27
Weissenberg 1971   5  0.8123  0.009  0.2010  0.5717  0.5014  0.53
Average   1  0.881  0.751  0.741  0.8711  0.603  0.72
Random 1    66  -0.0865  0.0065  0.0265  0.0266  0.0165  0.01
Random 2   64  0.0466  0.0064  0.0364  0.0316  0.2556  0.09
Random 3   65  -0.0561  0.0066  0.0166  0.0164  0.0266  0.01

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).