Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.2852  0.0050  0.0555  0.0559  0.0456  0.04
Ashkenazy 1981   51  0.2760  0.0049  0.0746  0.0753  0.0551  0.06
Beliavsky 2004   61  0.1158  0.0061  0.0461  0.0461  0.0360  0.03
BenOr 1989   3  0.5624  0.004  0.387  0.6812  0.638  0.65
Biret 1990   22  0.4232  0.0021  0.1120  0.5012  0.3822  0.44
Blet 2003   8  0.5021  0.0014  0.1913  0.6212  0.6110  0.61
Block 1995   25  0.4153  0.0030  0.1129  0.2928  0.1630  0.22
Brailowsky 1960   5  0.542  0.162  0.323  0.733  0.723  0.72
Chiu 1999   34  0.3635  0.0040  0.0841  0.0838  0.0643  0.07
Clidat 1994   33  0.3641  0.0038  0.0938  0.0934  0.0841  0.08
Cohen 1997   60  0.1456  0.0060  0.0558  0.0561  0.0263  0.03
Coop 1987   6  0.5219  0.007  0.166  0.6914  0.5012  0.59
Cortot 1951   62  0.0551  0.0063  0.0363  0.0364  0.0265  0.02
Czerny 1949   41  0.3249  0.0032  0.1232  0.2437  0.0933  0.15
Czerny 1949b   45  0.3047  0.0046  0.1233  0.1238  0.0740  0.09
Ezaki 2006   1  0.631  0.541  0.531  0.852  0.771  0.81
Falvay 1989   14  0.4712  0.0019  0.1518  0.5310  0.5816  0.55
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fiorentino 1962   11  0.4942  0.0012  0.248  0.689  0.686  0.68
Fliere 1977   35  0.3618  0.0031  0.1330  0.2713  0.4627  0.35
Fou 1978   28  0.4061  0.0020  0.1919  0.5219  0.5417  0.53
Francois 1956   43  0.3125  0.0045  0.0843  0.0824  0.2834  0.15
Hatto 1997   48  0.2850  0.0054  0.0652  0.0663  0.0355  0.04
Horowitz 1971   30  0.389  0.0128  0.0928  0.3020  0.3628  0.33
Horowitz 1985   44  0.3030  0.0033  0.1035  0.1036  0.0939  0.09
Indjic 2001   52  0.2620  0.0056  0.0749  0.0757  0.0352  0.05
Kapell 1951   27  0.4134  0.0024  0.1125  0.4114  0.5021  0.45
Kiepura 1999   36  0.3533  0.0037  0.0747  0.0747  0.0545  0.06
Kilenyi 1937   10  0.498  0.016  0.279  0.667  0.697  0.67
Kissin 1993   58  0.2155  0.0059  0.0654  0.0660  0.0354  0.04
Kitain 1937   59  0.1815  0.0058  0.0556  0.0560  0.0358  0.04
Kushner 1990   20  0.4336  0.0017  0.1917  0.5616  0.4818  0.52
Levy 1951   17  0.4540  0.0018  0.1721  0.479  0.5619  0.51
Luisada 1990   57  0.2245  0.0055  0.0653  0.0649  0.0649  0.06
Lushtak 2004   32  0.3714  0.0039  0.0842  0.0840  0.0744  0.07
Lympany 1968   21  0.425  0.0334  0.1034  0.1022  0.3831  0.19
Magaloff 1977   39  0.3328  0.0044  0.0937  0.0922  0.3132  0.17
Magaloff 1977b   47  0.2839  0.0051  0.0460  0.0456  0.0457  0.04
Magin 1975   31  0.3743  0.0023  0.1022  0.4724  0.3723  0.42
Milkina 1970   24  0.4259  0.0029  0.1031  0.2547  0.0635  0.12
Mohovich 1999   38  0.3444  0.0041  0.0839  0.0832  0.1637  0.11
Nadelmann 1956   13  0.4810  0.0113  0.1614  0.6210  0.4220  0.51
Ohlsson 1999   23  0.4237  0.0026  0.1126  0.3920  0.2729  0.32
Olejniczac 1990   12  0.4827  0.0011  0.155  0.6910  0.685  0.68
Olejniczak 1991   15  0.4623  0.0010  0.1611  0.648  0.649  0.64
Osinska 1989   9  0.5017  0.008  0.1512  0.6313  0.5511  0.59
Paderewski 1912   54  0.2538  0.0052  0.0459  0.0462  0.0362  0.03
Perahia 1994   26  0.4129  0.0035  0.1036  0.1033  0.1138  0.10
Perlemuter 1986   37  0.3426  0.0036  0.0744  0.0737  0.0647  0.06
Poblocka 1999   19  0.437  0.0116  0.2116  0.5910  0.5415  0.56
Rangell 2001   56  0.2316  0.0057  0.0557  0.0563  0.0359  0.04
Risler 1920   53  0.2664  0.0047  0.0840  0.0840  0.0642  0.07
Rosen 1989   2  0.583  0.103  0.374  0.722  0.704  0.71
Rubinstein 1939   50  0.2754  0.0043  0.0650  0.0657  0.0353  0.04
Rubinstein 1952   16  0.4611  0.0115  0.2215  0.6115  0.5414  0.57
Rubinstein 1966   7  0.5113  0.009  0.1710  0.6410  0.5513  0.59
Rummel 1943   55  0.2362  0.0053  0.0651  0.0637  0.0650  0.06
Shebanova 2002   4  0.564  0.065  0.292  0.783  0.732  0.75
Smith 1975   42  0.3131  0.0042  0.0745  0.0748  0.0546  0.06
Szpilman 1948   40  0.3346  0.0025  0.1127  0.3120  0.4526  0.37
Uninsky 1971   46  0.2963  0.0048  0.0748  0.0751  0.0548  0.06
Wasowski 1980   29  0.3822  0.0022  0.1023  0.4521  0.3325  0.39
Weissenberg 1971   18  0.446  0.0127  0.1424  0.4110  0.4324  0.42
Random 1    63  0.0348  0.0062  0.0362  0.036  0.4236  0.11
Random 2   64  -0.0457  0.0064  0.0264  0.0251  0.0461  0.03
Random 3   65  -0.0765  0.0065  0.0265  0.0262  0.0264  0.02

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).