Kilenyi 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.2841  0.0051  0.0747  0.0749  0.0551  0.06
Ashkenazy 1981   45  0.3314  0.0148  0.0655  0.0635  0.0843  0.07
Beliavsky 2004   62  0.0962  0.0062  0.0462  0.0459  0.0363  0.03
BenOr 1989   3  0.538  0.015  0.177  0.7015  0.617  0.65
Biret 1990   21  0.4524  0.0018  0.1215  0.605  0.5714  0.58
Blet 2003   5  0.527  0.016  0.203  0.755  0.712  0.73
Block 1995   47  0.3155  0.0038  0.0841  0.0835  0.0839  0.08
Brailowsky 1960   2  0.5310  0.014  0.192  0.7710  0.663  0.71
Chiu 1999   43  0.3459  0.0042  0.0743  0.0746  0.0547  0.06
Clidat 1994   49  0.3120  0.0045  0.0651  0.0657  0.0555  0.05
Cohen 1997   61  0.1851  0.0061  0.0556  0.0555  0.0461  0.04
Coop 1987   11  0.4813  0.0114  0.2017  0.5924  0.3820  0.47
Cortot 1951   63  0.0764  0.0064  0.0363  0.0358  0.0365  0.03
Czerny 1949   37  0.3658  0.0026  0.1225  0.2928  0.2326  0.26
Czerny 1949b   35  0.3730  0.0035  0.0748  0.0729  0.2033  0.12
Ezaki 2006   4  0.522  0.132  0.2410  0.6611  0.638  0.64
Falvay 1989   30  0.3957  0.0036  0.0746  0.0742  0.0648  0.06
Ferenczy 1958   10  0.493  0.083  0.338  0.6910  0.666  0.67
Fiorentino 1962   9  0.4919  0.0012  0.155  0.738  0.694  0.71
Fliere 1977   40  0.3535  0.0039  0.0933  0.0932  0.1532  0.12
Fou 1978   15  0.4627  0.0013  0.1713  0.6113  0.6111  0.61
Francois 1956   39  0.3654  0.0041  0.0742  0.0736  0.0744  0.07
Hatto 1997   51  0.3045  0.0054  0.0654  0.0652  0.0554  0.05
Horowitz 1971   34  0.3753  0.0027  0.1026  0.2631  0.1727  0.21
Horowitz 1985   33  0.3712  0.0125  0.0924  0.3021  0.2825  0.29
Indjic 2001   52  0.3031  0.0055  0.0936  0.0952  0.0453  0.06
Kapell 1951   36  0.3765  0.0032  0.0632  0.1128  0.2430  0.16
Kiepura 1999   38  0.3629  0.0037  0.0838  0.0849  0.0545  0.06
Kilenyi 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   54  0.2842  0.0056  0.0839  0.0859  0.0449  0.06
Kitain 1937   59  0.1939  0.0060  0.0557  0.0560  0.0362  0.04
Kushner 1990   25  0.4147  0.0023  0.1423  0.4829  0.2223  0.32
Levy 1951   28  0.3932  0.0033  0.0750  0.0718  0.3629  0.16
Luisada 1990   24  0.4233  0.0030  0.1030  0.2018  0.4724  0.31
Lushtak 2004   57  0.2243  0.0057  0.0559  0.0555  0.0458  0.04
Lympany 1968   42  0.3517  0.0043  0.0652  0.0640  0.0746  0.06
Magaloff 1977   56  0.2436  0.0053  0.0558  0.0558  0.0457  0.04
Magaloff 1977b   60  0.1966  0.0059  0.0560  0.0561  0.0459  0.04
Magin 1975   6  0.5126  0.0015  0.169  0.6816  0.579  0.62
Milkina 1970   32  0.3844  0.0024  0.1128  0.2250  0.0536  0.10
Mohovich 1999   41  0.3540  0.0044  0.0840  0.0834  0.0742  0.07
Nadelmann 1956   12  0.4811  0.0116  0.1720  0.5624  0.2121  0.34
Ohlsson 1999   27  0.4016  0.0031  0.0831  0.1639  0.0637  0.10
Olejniczac 1990   7  0.515  0.037  0.134  0.737  0.751  0.74
Olejniczak 1991   14  0.4750  0.0019  0.1512  0.6111  0.6210  0.61
Osinska 1989   17  0.4634  0.0017  0.1314  0.6023  0.4118  0.50
Paderewski 1912   50  0.3015  0.0050  0.0937  0.0950  0.0452  0.06
Perahia 1994   44  0.3452  0.0046  0.0934  0.0949  0.0541  0.07
Perlemuter 1986   26  0.4149  0.0029  0.0729  0.2142  0.0635  0.11
Poblocka 1999   20  0.454  0.0410  0.1322  0.5014  0.4919  0.49
Rangell 2001   58  0.2261  0.0058  0.0461  0.0461  0.0364  0.03
Risler 1920   29  0.3925  0.0034  0.0745  0.0712  0.4628  0.18
Rosen 1989   16  0.469  0.019  0.1316  0.5912  0.6212  0.60
Rubinstein 1939   48  0.3148  0.0049  0.0653  0.0655  0.0356  0.04
Rubinstein 1952   19  0.4518  0.0011  0.1218  0.5818  0.5215  0.55
Rubinstein 1966   8  0.5021  0.008  0.146  0.7214  0.4713  0.58
Rummel 1943   31  0.3837  0.0040  0.0744  0.0731  0.1338  0.10
Shebanova 2002   22  0.4422  0.0021  0.2419  0.5717  0.4816  0.52
Smith 1975   23  0.4328  0.0028  0.0727  0.2533  0.0831  0.14
Szpilman 1948   13  0.476  0.0120  0.2111  0.642  0.735  0.68
Uninsky 1971   55  0.2860  0.0052  0.0935  0.0962  0.0450  0.06
Wasowski 1980   18  0.4623  0.0022  0.3021  0.5310  0.4717  0.50
Weissenberg 1971   46  0.3246  0.0047  0.0749  0.0744  0.0740  0.07
Average   1  0.621  0.571  0.571  0.8832  0.1322  0.34
Random 1    64  0.0038  0.0063  0.0364  0.037  0.4134  0.11
Random 2   66  0.0056  0.0066  0.0166  0.0150  0.0466  0.02
Random 3   65  0.0063  0.0065  0.0265  0.0233  0.0860  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).