Szpilman 1948

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.7110  0.0117  0.1412  0.585  0.607  0.59
Ashkenazy 1981   20  0.7132  0.0022  0.1128  0.3634  0.1030  0.19
Beliavsky 2004   48  0.6260  0.0049  0.0740  0.0727  0.1739  0.11
BenOr 1989   2  0.772  0.125  0.275  0.6714  0.489  0.57
Biret 1990   38  0.6640  0.0046  0.0837  0.0851  0.0558  0.06
Blet 2003   24  0.7012  0.0124  0.1222  0.489  0.4915  0.48
Block 1995   49  0.6236  0.0048  0.0650  0.0636  0.1046  0.08
Brailowsky 1960   50  0.6126  0.0054  0.0561  0.0515  0.4835  0.15
Chiu 1999   45  0.6359  0.0035  0.0839  0.0843  0.0649  0.07
Clidat 1994   39  0.6648  0.0044  0.0934  0.0959  0.0552  0.07
Cohen 1997   62  0.4341  0.0061  0.0555  0.0531  0.1844  0.09
Coop 1987   9  0.735  0.047  0.186  0.6530  0.2620  0.41
Cortot 1951   61  0.4665  0.0062  0.0554  0.0554  0.0562  0.05
Czerny 1949   17  0.7131  0.0010  0.1214  0.5817  0.4114  0.49
Czerny 1949b   12  0.7214  0.016  0.1910  0.5913  0.5010  0.54
Ezaki 2006   4  0.756  0.024  0.284  0.6917  0.565  0.62
Falvay 1989   25  0.709  0.029  0.1616  0.5627  0.3318  0.43
Ferenczy 1958   58  0.5457  0.0055  0.0462  0.0437  0.0856  0.06
Fiorentino 1962   13  0.7250  0.0026  0.0927  0.3728  0.3423  0.35
Fliere 1977   3  0.763  0.063  0.212  0.756  0.632  0.69
Fou 1978   19  0.7118  0.0013  0.1911  0.5819  0.4612  0.52
Francois 1956   32  0.6738  0.0031  0.1031  0.259  0.5222  0.36
Hatto 1997   53  0.6147  0.0051  0.0557  0.0540  0.0755  0.06
Horowitz 1971   54  0.6063  0.0056  0.0645  0.0651  0.0561  0.05
Horowitz 1985   57  0.5751  0.0058  0.0558  0.0519  0.3837  0.14
Indjic 2001   52  0.6152  0.0052  0.0835  0.0839  0.0753  0.07
Kapell 1951   11  0.7222  0.008  0.188  0.6419  0.4411  0.53
Kiepura 1999   36  0.6656  0.0045  0.0836  0.0829  0.2138  0.13
Kilenyi 1937   5  0.758  0.022  0.193  0.7110  0.663  0.68
Kissin 1993   16  0.7137  0.0014  0.1418  0.5555  0.0534  0.17
Kitain 1937   60  0.4727  0.0059  0.0559  0.0516  0.4636  0.15
Kushner 1990   21  0.7135  0.0021  0.1017  0.5623  0.2321  0.36
Levy 1951   46  0.6339  0.0040  0.0651  0.0615  0.4633  0.17
Luisada 1990   14  0.7234  0.0020  0.0821  0.4812  0.4916  0.48
Lushtak 2004   47  0.6262  0.0050  0.1033  0.1049  0.0645  0.08
Lympany 1968   41  0.6523  0.0047  0.0552  0.0547  0.0754  0.06
Magaloff 1977   37  0.6661  0.0043  0.0647  0.0651  0.0657  0.06
Magaloff 1977b   40  0.6654  0.0042  0.0553  0.0532  0.1543  0.09
Magin 1975   23  0.7019  0.0025  0.1424  0.4430  0.2126  0.30
Milkina 1970   34  0.6745  0.0039  0.0646  0.0630  0.1442  0.09
Mohovich 1999   7  0.7417  0.0016  0.137  0.647  0.664  0.65
Nadelmann 1956   27  0.707  0.0218  0.1515  0.588  0.4113  0.49
Ohlsson 1999   42  0.6525  0.0033  0.0742  0.0735  0.0851  0.07
Olejniczac 1990   8  0.7320  0.0019  0.0819  0.5120  0.4317  0.47
Olejniczak 1991   15  0.7215  0.0127  0.1026  0.3932  0.1428  0.23
Osinska 1989   1  0.791  0.541  0.531  0.8411  0.581  0.70
Paderewski 1912   31  0.6829  0.0036  0.0743  0.0725  0.1641  0.11
Perahia 1994   59  0.5455  0.0060  0.0648  0.0655  0.0460  0.05
Perlemuter 1986   6  0.7433  0.0011  0.139  0.617  0.538  0.57
Poblocka 1999   29  0.6942  0.0029  0.1529  0.3229  0.1429  0.21
Rangell 2001   43  0.6464  0.0038  0.0741  0.0734  0.0947  0.08
Risler 1920   10  0.7213  0.0112  0.1413  0.585  0.636  0.60
Rosen 1989   35  0.6728  0.0037  0.0644  0.0612  0.5332  0.18
Rubinstein 1939   55  0.6011  0.0134  0.0838  0.0841  0.0650  0.07
Rubinstein 1952   22  0.7016  0.0128  0.1325  0.3927  0.3024  0.34
Rubinstein 1966   33  0.674  0.0630  0.1130  0.2720  0.3625  0.31
Rummel 1943   56  0.5843  0.0057  0.0556  0.0549  0.0463  0.04
Shebanova 2002   28  0.7024  0.0023  0.1120  0.5028  0.1527  0.27
Smith 1975   26  0.7049  0.0032  0.1032  0.2028  0.1631  0.18
Szpilman 1948   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   44  0.6444  0.0041  0.0560  0.0541  0.0659  0.05
Wasowski 1980   51  0.6130  0.0053  0.0649  0.0633  0.0948  0.07
Weissenberg 1971   30  0.6921  0.0015  0.1323  0.4721  0.3919  0.43
Random 1    65  -0.0553  0.0064  0.0264  0.0254  0.0365  0.02
Random 2   63  0.0458  0.0063  0.0463  0.0420  0.3240  0.11
Random 3   64  -0.0446  0.0065  0.0265  0.0233  0.0664  0.03

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).