Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.693  0.104  0.1811  0.4628  0.178  0.28
Ashkenazy 1981   28  0.6353  0.0047  0.0544  0.0543  0.0647  0.05
Beliavsky 2004   22  0.6411  0.0128  0.0828  0.1629  0.2113  0.18
BenOr 1989   1  0.7112  0.0116  0.1013  0.4157  0.0423  0.13
Biret 1990   42  0.6037  0.0040  0.0637  0.0656  0.0549  0.05
Blet 2003   33  0.6229  0.0030  0.0729  0.1645  0.0628  0.10
Block 1995   17  0.6524  0.0019  0.1123  0.2752  0.0429  0.10
Brailowsky 1960   8  0.6745  0.009  0.1014  0.4034  0.0812  0.18
Chiu 1999   60  0.5236  0.0059  0.0362  0.0351  0.0551  0.04
Clidat 1994   44  0.5926  0.0038  0.0541  0.0556  0.0459  0.04
Cohen 1997   30  0.6223  0.0029  0.0730  0.1548  0.0433  0.08
Coop 1987   26  0.6417  0.0117  0.0920  0.3139  0.0815  0.16
Cortot 1951   27  0.6438  0.0020  0.0916  0.3548  0.0524  0.13
Czerny 1949   5  0.697  0.0210  0.094  0.5828  0.225  0.36
Czerny 1949b   24  0.6455  0.0044  0.0447  0.0443  0.0740  0.05
Ezaki 2006   49  0.5848  0.0057  0.0361  0.0362  0.0361  0.03
Falvay 1989   52  0.5720  0.0055  0.0458  0.0447  0.0552  0.04
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fiorentino 1962   45  0.5959  0.0043  0.0456  0.0441  0.0648  0.05
Fliere 1977   20  0.6546  0.0026  0.0825  0.2561  0.0427  0.10
Fou 1978   51  0.5731  0.0032  0.0532  0.1158  0.0434  0.07
Francois 1956   59  0.5451  0.0061  0.0460  0.0429  0.2231  0.09
Hatto 1997   50  0.5865  0.0056  0.0454  0.0460  0.0363  0.03
Horowitz 1971   21  0.646  0.028  0.136  0.5614  0.334  0.43
Horowitz 1985   54  0.5613  0.0118  0.1021  0.2816  0.356  0.31
Indjic 2001   35  0.6161  0.0051  0.0635  0.0660  0.0446  0.05
Kapell 1951   58  0.5454  0.0052  0.0450  0.0461  0.0454  0.04
Kiepura 1999   19  0.6547  0.0046  0.0451  0.0460  0.0450  0.04
Kilenyi 1937   40  0.6040  0.0033  0.0449  0.0457  0.0457  0.04
Kissin 1993   31  0.6222  0.0011  0.0912  0.4151  0.0519  0.14
Kitain 1937   61  0.4825  0.0036  0.0453  0.0420  0.3326  0.11
Kushner 1990   57  0.5410  0.0234  0.0457  0.0440  0.0641  0.05
Levy 1951   13  0.6614  0.0115  0.109  0.4946  0.0514  0.16
Luisada 1990   55  0.5564  0.0062  0.0538  0.0549  0.0644  0.05
Lushtak 2004   41  0.6019  0.0137  0.0546  0.0545  0.0545  0.05
Lympany 1968   38  0.6121  0.0031  0.0631  0.1344  0.0532  0.08
Magaloff 1977   34  0.6152  0.0045  0.0448  0.0459  0.0558  0.04
Magaloff 1977b   36  0.6150  0.0048  0.0542  0.0560  0.0460  0.04
Magin 1975   47  0.5858  0.0060  0.0455  0.0460  0.0453  0.04
Milkina 1970   11  0.6615  0.0125  0.0924  0.2644  0.0625  0.12
Mohovich 1999   2  0.719  0.027  0.148  0.5250  0.0517  0.16
Nadelmann 1956   46  0.5863  0.0035  0.0543  0.0553  0.0455  0.04
Ohlsson 1999   29  0.6227  0.0041  0.0636  0.0636  0.0736  0.06
Olejniczac 1990   43  0.6042  0.0042  0.0452  0.0444  0.0643  0.05
Olejniczak 1991   37  0.6139  0.0049  0.0540  0.0541  0.0735  0.06
Osinska 1989   16  0.6641  0.0027  0.0927  0.2162  0.0430  0.09
Paderewski 1912   14  0.661  0.401  0.391  0.718  0.571  0.64
Perahia 1994   10  0.668  0.0224  0.0726  0.2425  0.1511  0.19
Perlemuter 1986   53  0.5749  0.0054  0.0634  0.0642  0.0737  0.06
Poblocka 1999   15  0.6616  0.0112  0.0917  0.3355  0.0521  0.13
Rangell 2001   56  0.5532  0.0053  0.0633  0.0654  0.0638  0.06
Risler 1920   62  0.4543  0.0058  0.0459  0.0444  0.0739  0.05
Rosen 1989   25  0.6456  0.0023  0.0822  0.2837  0.0622  0.13
Rubinstein 1939   7  0.672  0.193  0.253  0.616  0.552  0.58
Rubinstein 1952   12  0.6633  0.0022  0.0719  0.3140  0.0620  0.14
Rubinstein 1966   9  0.6728  0.0014  0.0910  0.4827  0.197  0.30
Rummel 1943   18  0.6535  0.0021  0.0818  0.3234  0.0816  0.16
Shebanova 2002   48  0.5834  0.0050  0.0545  0.0534  0.0642  0.05
Smith 1975   6  0.695  0.025  0.192  0.6635  0.119  0.27
Szpilman 1948   32  0.624  0.072  0.277  0.5620  0.423  0.48
Uninsky 1971   39  0.6144  0.0039  0.0539  0.0561  0.0356  0.04
Wasowski 1980   4  0.6930  0.006  0.175  0.5743  0.0710  0.20
Weissenberg 1971   23  0.6418  0.0113  0.1015  0.3949  0.0518  0.14
Random 1    64  -0.0562  0.0064  0.0264  0.0244  0.0462  0.03
Random 2   63  -0.0457  0.0063  0.0263  0.0261  0.0265  0.02
Random 3   65  -0.0560  0.0065  0.0265  0.0248  0.0464  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).