Szpilman 1948

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.836  0.0320  0.1118  0.323  0.637  0.45
Ashkenazy 1981   33  0.8120  0.0137  0.0737  0.0742  0.0650  0.06
Beliavsky 2004   24  0.8414  0.0117  0.1021  0.272  0.5613  0.39
BenOr 1989   10  0.8713  0.0114  0.1512  0.4325  0.3116  0.37
Biret 1990   43  0.7932  0.0053  0.0456  0.0433  0.0851  0.06
Blet 2003   19  0.8446  0.0018  0.1017  0.3512  0.2918  0.32
Block 1995   51  0.7447  0.0056  0.0460  0.0456  0.0562  0.04
Brailowsky 1960   42  0.7951  0.0044  0.0551  0.0518  0.3335  0.13
Chiu 1999   49  0.7661  0.0038  0.0638  0.0637  0.0947  0.07
Clidat 1994   17  0.8554  0.0024  0.0723  0.2526  0.1627  0.20
Cohen 1997   63  0.5258  0.0063  0.0641  0.0649  0.0555  0.05
Coop 1987   29  0.8219  0.0115  0.1115  0.3931  0.1720  0.26
Cortot 1951   60  0.7055  0.0060  0.0363  0.0343  0.0564  0.04
Czerny 1949   12  0.8712  0.016  0.286  0.547  0.504  0.52
Czerny 1949b   6  0.882  0.142  0.283  0.635  0.582  0.60
Ezaki 2006   13  0.8521  0.0016  0.1016  0.3829  0.1521  0.24
Falvay 1989   46  0.799  0.0122  0.0825  0.2031  0.1531  0.17
Ferenczy 1958   59  0.7159  0.0048  0.0546  0.0530  0.1148  0.07
Fiorentino 1962   9  0.8824  0.0012  0.1011  0.4317  0.3912  0.41
Fliere 1977   3  0.897  0.037  0.195  0.5516  0.368  0.44
Fou 1978   31  0.8234  0.0027  0.0627  0.2038  0.0739  0.12
Francois 1956   37  0.8116  0.0134  0.0933  0.097  0.4725  0.21
Hatto 1997   57  0.7145  0.0050  0.0457  0.0443  0.0561  0.04
Horowitz 1971   38  0.8033  0.0052  0.0550  0.0538  0.0656  0.05
Horowitz 1985   54  0.7226  0.0059  0.0364  0.0319  0.3841  0.11
Indjic 2001   58  0.7164  0.0051  0.0547  0.0543  0.0554  0.05
Kapell 1951   28  0.8336  0.0019  0.1219  0.3127  0.1822  0.24
Kiepura 1999   35  0.8156  0.0039  0.0640  0.0625  0.3533  0.14
Kilenyi 1937   15  0.8528  0.0013  0.1313  0.4225  0.3315  0.37
Kissin 1993   21  0.8410  0.014  0.257  0.5027  0.2217  0.33
Kitain 1937   62  0.578  0.0261  0.0459  0.047  0.4734  0.14
Kushner 1990   23  0.8441  0.0032  0.0930  0.1731  0.1332  0.15
Levy 1951   48  0.7739  0.0054  0.0639  0.0611  0.4930  0.17
Luisada 1990   2  0.893  0.073  0.304  0.632  0.631  0.63
Lushtak 2004   26  0.8465  0.0021  0.0820  0.2826  0.1723  0.22
Lympany 1968   36  0.8149  0.0049  0.0548  0.0554  0.0458  0.04
Magaloff 1977   20  0.8435  0.0028  0.0728  0.1927  0.2324  0.21
Magaloff 1977b   22  0.8452  0.0030  0.0929  0.1827  0.2028  0.19
Magin 1975   40  0.8037  0.0042  0.0552  0.0541  0.0749  0.06
Milkina 1970   45  0.7953  0.0043  0.0453  0.0434  0.0652  0.05
Mohovich 1999   7  0.8822  0.0010  0.1314  0.4110  0.4710  0.44
Nadelmann 1956   44  0.7918  0.0133  0.0836  0.0812  0.3929  0.18
Ohlsson 1999   53  0.7244  0.0055  0.0454  0.0449  0.0560  0.04
Olejniczac 1990   8  0.8830  0.0011  0.1010  0.4517  0.4011  0.42
Olejniczak 1991   16  0.8538  0.0025  0.0731  0.1635  0.1036  0.13
Osinska 1989   4  0.884  0.055  0.232  0.6610  0.423  0.53
Paderewski 1912   14  0.8529  0.0026  0.0824  0.2111  0.3819  0.28
Perahia 1994   61  0.6657  0.0062  0.0544  0.0525  0.2242  0.10
Perlemuter 1986   11  0.8748  0.008  0.109  0.4712  0.429  0.44
Poblocka 1999   25  0.8450  0.0031  0.0732  0.1433  0.1138  0.12
Rangell 2001   47  0.7862  0.0041  0.0542  0.0551  0.0557  0.05
Risler 1920   18  0.8411  0.0123  0.0622  0.253  0.5814  0.38
Rosen 1989   41  0.7927  0.0047  0.0455  0.0435  0.0653  0.05
Rubinstein 1939   55  0.7223  0.0046  0.0545  0.0529  0.1543  0.09
Rubinstein 1952   32  0.8131  0.0040  0.0543  0.0528  0.1846  0.09
Rubinstein 1966   50  0.765  0.0445  0.0549  0.0520  0.2840  0.12
Rummel 1943   56  0.7242  0.0058  0.0458  0.0423  0.2245  0.09
Shebanova 2002   34  0.8115  0.0135  0.0934  0.0931  0.2037  0.13
Smith 1975   5  0.8825  0.009  0.108  0.4814  0.446  0.46
Szpilman 1948   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   30  0.8263  0.0029  0.0726  0.2021  0.2126  0.20
Wasowski 1980   52  0.7340  0.0057  0.0462  0.0454  0.0459  0.04
Weissenberg 1971   39  0.8017  0.0136  0.0835  0.0836  0.1044  0.09
Average   1  0.911  0.461  0.451  0.7523  0.335  0.50
Random 1    66  -0.1460  0.0065  0.0265  0.0247  0.0366  0.02
Random 2   64  0.0466  0.0064  0.0461  0.0452  0.0365  0.03
Random 3   65  -0.1143  0.0066  0.0166  0.0123  0.1663  0.04

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).