Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.4815  0.0020  0.1020  0.402  0.7617  0.55
Ashkenazy 1981   12  0.552  0.039  0.209  0.612  0.788  0.69
Beliavsky 2004   28  0.4511  0.0125  0.0827  0.283  0.7022  0.44
BenOr 1989   14  0.5212  0.0015  0.1514  0.5416  0.5816  0.56
Biret 1990   18  0.5042  0.0024  0.1224  0.309  0.4529  0.37
Blet 2003   45  0.3840  0.0049  0.0643  0.0636  0.0756  0.06
Block 1995   36  0.4149  0.0046  0.0553  0.0548  0.0663  0.05
Brailowsky 1960   56  0.3264  0.0056  0.0462  0.0447  0.0855  0.06
Chiu 1999   26  0.4652  0.0030  0.0929  0.253  0.5725  0.38
Clidat 1994   24  0.4844  0.0029  0.0826  0.309  0.4827  0.38
Cohen 1997   42  0.3914  0.0028  0.0832  0.165  0.6730  0.33
Coop 1987   4  0.595  0.036  0.183  0.724  0.677  0.69
Cortot 1951   59  0.3061  0.0060  0.0554  0.0523  0.3646  0.13
Czerny 1949   57  0.3159  0.0053  0.0459  0.0436  0.1153  0.07
Czerny 1949b   58  0.3150  0.0058  0.0460  0.0444  0.0660  0.05
Ezaki 2006   34  0.4334  0.0034  0.0640  0.0632  0.2347  0.12
Falvay 1989   20  0.5013  0.0026  0.0725  0.3015  0.5523  0.41
Ferenczy 1958   35  0.4257  0.0045  0.0648  0.0632  0.2348  0.12
Fiorentino 1962   54  0.3336  0.0057  0.0461  0.0441  0.0858  0.06
Fliere 1977   39  0.4065  0.0033  0.0739  0.0725  0.2944  0.14
Fou 1978   47  0.3753  0.0050  0.0646  0.0636  0.0952  0.07
Francois 1956   43  0.3846  0.0044  0.0552  0.059  0.5039  0.16
Hatto 1997   5  0.599  0.018  0.295  0.713  0.801  0.75
Horowitz 1971   49  0.3616  0.0043  0.0935  0.0922  0.3338  0.17
Horowitz 1985   55  0.3247  0.0052  0.0645  0.0629  0.2149  0.11
Indjic 2001   3  0.603  0.037  0.242  0.723  0.743  0.73
Kapell 1951   30  0.4535  0.0037  0.0936  0.0919  0.4134  0.19
Kiepura 1999   38  0.4021  0.0021  0.0928  0.2717  0.3831  0.32
Kilenyi 1937   44  0.3863  0.0047  0.0550  0.0528  0.2250  0.10
Kissin 1993   13  0.5422  0.0016  0.1217  0.466  0.6715  0.56
Kitain 1937   52  0.3332  0.0035  0.0642  0.0612  0.4837  0.17
Kushner 1990   15  0.5225  0.0012  0.1510  0.576  0.6910  0.63
Levy 1951   46  0.3748  0.0048  0.0641  0.0619  0.3641  0.15
Luisada 1990   63  0.2341  0.0063  0.0556  0.0547  0.0662  0.05
Lushtak 2004   8  0.5526  0.0010  0.1913  0.567  0.6512  0.60
Lympany 1968   25  0.4651  0.0032  0.1130  0.214  0.6428  0.37
Magaloff 1977   29  0.4538  0.0039  0.0647  0.064  0.5736  0.18
Magaloff 1977b   27  0.4530  0.0040  0.1033  0.103  0.5633  0.24
Magin 1975   53  0.3339  0.0059  0.0551  0.0548  0.0559  0.05
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   23  0.487  0.0217  0.1016  0.482  0.7213  0.59
Nadelmann 1956   31  0.4410  0.0118  0.1419  0.4415  0.3226  0.38
Ohlsson 1999   17  0.5143  0.0014  0.1815  0.536  0.6911  0.60
Olejniczac 1990   51  0.3458  0.0055  0.0363  0.0334  0.1257  0.06
Olejniczak 1991   48  0.3724  0.0038  0.0644  0.0618  0.3642  0.15
Osinska 1989   11  0.5518  0.0011  0.1511  0.5718  0.5018  0.53
Paderewski 1912   32  0.4437  0.0022  0.0922  0.344  0.4924  0.41
Perahia 1994   7  0.574  0.034  0.208  0.644  0.739  0.68
Perlemuter 1986   9  0.556  0.025  0.266  0.704  0.735  0.71
Poblocka 1999   50  0.3523  0.0051  0.0649  0.0622  0.2745  0.13
Rangell 2001   21  0.4928  0.0027  0.0823  0.336  0.6621  0.47
Risler 1920   62  0.2560  0.0062  0.0457  0.0458  0.0465  0.04
Rosen 1989   61  0.2731  0.0061  0.0458  0.0457  0.0664  0.05
Rubinstein 1939   6  0.5817  0.003  0.277  0.704  0.762  0.73
Rubinstein 1952   10  0.5519  0.0013  0.1412  0.567  0.6314  0.59
Rubinstein 1966   2  0.618  0.012  0.274  0.727  0.686  0.70
Rummel 1943   60  0.3055  0.0054  0.0555  0.0526  0.2051  0.10
Shebanova 2002   16  0.5227  0.0019  0.1218  0.4413  0.5420  0.49
Smith 1975   40  0.3920  0.0031  0.1031  0.196  0.3732  0.27
Szpilman 1948   41  0.3933  0.0036  0.0738  0.0727  0.3140  0.15
Uninsky 1971   19  0.5029  0.0023  0.0921  0.394  0.6519  0.50
Wasowski 1980   33  0.4345  0.0041  0.0837  0.0824  0.2543  0.14
Weissenberg 1971   37  0.4162  0.0042  0.0934  0.0918  0.3635  0.18
Average   1  0.721  0.751  0.741  0.886  0.594  0.72
Random 1    66  -0.0266  0.0066  0.0166  0.0161  0.0366  0.02
Random 2   65  0.0054  0.0065  0.0265  0.0231  0.1361  0.05
Random 3   64  0.0456  0.0064  0.0264  0.0215  0.2754  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).