Kilenyi 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.666  0.0341  0.0647  0.0612  0.3738  0.15
Ashkenazy 1981   5  0.8016  0.0110  0.184  0.697  0.567  0.62
Beliavsky 2004   33  0.7042  0.0035  0.1234  0.1219  0.2934  0.19
BenOr 1989   10  0.7918  0.019  0.155  0.6810  0.578  0.62
Biret 1990   4  0.815  0.064  0.198  0.6713  0.539  0.60
Blet 2003   50  0.6225  0.0148  0.0551  0.0541  0.0651  0.05
Block 1995   28  0.7332  0.0028  0.0930  0.2823  0.3129  0.29
Brailowsky 1960   39  0.6719  0.0140  0.0742  0.0716  0.3636  0.16
Chiu 1999   14  0.7812  0.027  0.1317  0.549  0.5317  0.53
Clidat 1994   43  0.6460  0.0044  0.0745  0.0744  0.0550  0.06
Cohen 1997   58  0.5861  0.0057  0.0456  0.0439  0.0754  0.05
Coop 1987   13  0.7859  0.0014  0.1515  0.5713  0.5513  0.56
Cortot 1951   37  0.6863  0.0038  0.0937  0.0938  0.0647  0.07
Czerny 1949   22  0.7551  0.0023  0.1316  0.557  0.6211  0.58
Czerny 1949b   30  0.7250  0.0030  0.1429  0.2918  0.4528  0.36
Ezaki 2006   16  0.777  0.0315  0.1421  0.5018  0.4721  0.48
Falvay 1989   34  0.6949  0.0036  0.1233  0.1240  0.0641  0.08
Ferenczy 1958   54  0.6030  0.0052  0.0457  0.0449  0.0459  0.04
Fiorentino 1962   20  0.7628  0.0017  0.167  0.6711  0.605  0.63
Fliere 1977   18  0.7620  0.0124  0.1311  0.589  0.5910  0.58
Fou 1978   15  0.7831  0.0016  0.1220  0.5014  0.4523  0.47
Francois 1956   62  0.3448  0.0062  0.0650  0.0663  0.0362  0.04
Hatto 1997   48  0.6345  0.0046  0.0454  0.0447  0.0652  0.05
Horowitz 1971   44  0.6421  0.0150  0.0646  0.0622  0.2640  0.12
Horowitz 1985   49  0.6262  0.0049  0.0649  0.0611  0.3937  0.15
Indjic 2001   42  0.6653  0.0042  0.0841  0.0845  0.0646  0.07
Kapell 1951   19  0.7658  0.0020  0.1724  0.4620  0.3826  0.42
Kiepura 1999   27  0.739  0.0227  0.1627  0.381  0.7516  0.53
Kilenyi 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   3  0.813  0.103  0.183  0.698  0.622  0.65
Kitain 1937   61  0.5123  0.0159  0.0458  0.0438  0.0755  0.05
Kushner 1990   55  0.6034  0.0051  0.0553  0.0534  0.0848  0.06
Levy 1951   26  0.7422  0.0122  0.1125  0.4624  0.3825  0.42
Luisada 1990   23  0.7564  0.0019  0.1223  0.4615  0.5122  0.48
Lushtak 2004   56  0.6046  0.0058  0.0648  0.0654  0.0553  0.05
Lympany 1968   57  0.6033  0.0055  0.0460  0.0455  0.0456  0.04
Magaloff 1977   9  0.7914  0.0112  0.1213  0.5718  0.4719  0.52
Magaloff 1977b   8  0.7926  0.0011  0.0912  0.5719  0.4820  0.52
Magin 1975   7  0.798  0.028  0.1410  0.603  0.656  0.62
Milkina 1970   46  0.6327  0.0053  0.0362  0.0359  0.0463  0.03
Mohovich 1999   32  0.7129  0.0033  0.1135  0.1129  0.2139  0.15
Nadelmann 1956   40  0.6743  0.0037  0.0939  0.0940  0.0645  0.07
Ohlsson 1999   36  0.6852  0.0031  0.0931  0.1719  0.3431  0.24
Olejniczac 1990   11  0.784  0.075  0.211  0.728  0.631  0.67
Olejniczak 1991   1  0.831  0.241  0.236  0.685  0.613  0.64
Osinska 1989   25  0.7437  0.0021  0.1122  0.4827  0.2827  0.37
Paderewski 1912   35  0.6944  0.0034  0.0940  0.0918  0.4332  0.20
Perahia 1994   53  0.6141  0.0047  0.0552  0.0528  0.1442  0.08
Perlemuter 1986   60  0.5324  0.0161  0.0743  0.0743  0.0744  0.07
Poblocka 1999   2  0.812  0.192  0.262  0.728  0.564  0.63
Rangell 2001   12  0.7840  0.0013  0.1014  0.5715  0.5414  0.55
Risler 1920   45  0.6356  0.0039  0.0938  0.0920  0.3635  0.18
Rosen 1989   59  0.5647  0.0060  0.0455  0.0457  0.0460  0.04
Rubinstein 1939   52  0.6136  0.0054  0.0361  0.0344  0.0557  0.04
Rubinstein 1952   38  0.6717  0.0143  0.1036  0.1036  0.0643  0.08
Rubinstein 1966   51  0.6113  0.0156  0.0459  0.0450  0.0558  0.04
Rummel 1943   31  0.7111  0.0232  0.0832  0.165  0.5430  0.29
Shebanova 2002   47  0.6339  0.0045  0.0744  0.0748  0.0549  0.06
Smith 1975   29  0.7257  0.0029  0.1228  0.3133  0.1233  0.19
Szpilman 1948   24  0.7515  0.0126  0.2118  0.534  0.6012  0.56
Uninsky 1971   17  0.7710  0.0218  0.1419  0.528  0.5218  0.52
Wasowski 1980   21  0.7538  0.0025  0.1526  0.4421  0.4124  0.42
Weissenberg 1971   6  0.7935  0.006  0.159  0.6119  0.4815  0.54
Random 1    65  -0.0554  0.0065  0.0265  0.0261  0.0265  0.02
Random 2   63  0.0255  0.0063  0.0363  0.0347  0.0364  0.03
Random 3   64  -0.0265  0.0064  0.0264  0.0232  0.1061  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).