Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.5810  0.0232  0.0730  0.2771  0.0336  0.09
Anderszewski 2003   76  0.1725  0.0053  0.0746  0.0788  0.0253  0.04
Ashkenazy 1981   50  0.4081  0.0040  0.0935  0.2377  0.0342  0.08
Bacha 2000   4  0.6919  0.0112  0.0812  0.479  0.484  0.47
Badura 1965   55  0.3636  0.0037  0.0933  0.2555  0.0430  0.10
Barbosa 1983   24  0.535  0.076  0.1111  0.4722  0.376  0.42
Biret 1990   8  0.6262  0.0010  0.0914  0.4645  0.0721  0.18
Blet 2003   33  0.4855  0.0050  0.0747  0.0764  0.0447  0.05
Block 1995   63  0.3121  0.0077  0.0374  0.0387  0.0280  0.02
Blumental 1952   80  0.1241  0.0080  0.0373  0.0388  0.0281  0.02
Boshniakovich 1969   57  0.3529  0.0062  0.0376  0.0385  0.0282  0.02
Brailowsky 1960   36  0.4858  0.0013  0.0828  0.2839  0.1219  0.18
Bunin 1987   69  0.2851  0.0074  0.0285  0.0281  0.0383  0.02
Bunin 1987b   68  0.2865  0.0075  0.0363  0.0381  0.0360  0.03
Chiu 1999   52  0.3942  0.0025  0.0720  0.3954  0.0524  0.14
Cohen 1997   18  0.554  0.083  0.204  0.551  0.592  0.57
Cortot 1951   51  0.3933  0.0069  0.0377  0.0378  0.0370  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   58  0.3472  0.0060  0.0362  0.0380  0.0365  0.03
Czerny 1990   45  0.4252  0.0058  0.0460  0.0483  0.0367  0.03
Duchoud 2007   30  0.5022  0.0039  0.0740  0.1967  0.0438  0.09
Ezaki 2006   49  0.4148  0.0052  0.0650  0.0673  0.0350  0.04
Falvay 1989   6  0.6316  0.019  0.105  0.5454  0.0523  0.16
Farrell 1958   35  0.4857  0.0068  0.0371  0.0372  0.0359  0.03
Ferenczy 1958   38  0.4734  0.0054  0.0648  0.0666  0.0354  0.04
Fliere 1977   23  0.5337  0.0028  0.0822  0.3781  0.0327  0.11
Fou 1978   40  0.4624  0.0027  0.0724  0.3465  0.0526  0.13
Francois 1956   28  0.5138  0.0034  0.0936  0.2247  0.0533  0.10
Friedman 1923   90  -0.2487  0.0090  0.0190  0.0188  0.0190  0.01
Friedman 1923b   89  -0.2380  0.0089  0.0289  0.0289  0.0187  0.01
Friedman 1930   86  -0.1046  0.0087  0.0287  0.0288  0.0186  0.01
Garcia 2007   79  0.1266  0.0084  0.0365  0.0388  0.0178  0.02
Garcia 2007b   88  -0.1569  0.0088  0.0286  0.0290  0.0189  0.01
Gierzod 1998   20  0.5482  0.0035  0.0726  0.3081  0.0337  0.09
Gornostaeva 1994   42  0.4353  0.0066  0.0370  0.0385  0.0284  0.02
Groot 1988   10  0.6023  0.0031  0.0934  0.2468  0.0343  0.08
Harasiewicz 1955   81  0.0961  0.0063  0.0372  0.0384  0.0371  0.03
Hatto 1993   71  0.2483  0.0014  0.1132  0.2747  0.0432  0.10
Hatto 1997   62  0.3230  0.0015  0.1231  0.2765  0.0335  0.09
Horowitz 1949   39  0.4659  0.0042  0.0739  0.1961  0.0434  0.09
Indjic 1988   66  0.2984  0.0011  0.0929  0.2739  0.1122  0.17
Kapell 1951   25  0.5374  0.0038  0.0741  0.1865  0.0441  0.08
Kissin 1993   27  0.516  0.0322  0.109  0.5243  0.1315  0.26
Kushner 1989   32  0.4956  0.0048  0.0651  0.0673  0.0352  0.04
Luisada 1991   70  0.2739  0.0029  0.0938  0.2281  0.0340  0.08
Lushtak 2004   43  0.4320  0.0119  0.0823  0.3669  0.0331  0.10
Malcuzynski 1961   34  0.4885  0.0064  0.0369  0.0377  0.0361  0.03
Magaloff 1978   31  0.4950  0.0043  0.0743  0.1562  0.0344  0.07
Magin 1975   77  0.1643  0.0051  0.0654  0.0675  0.0257  0.03
Michalowski 1933   84  -0.0112  0.0179  0.0283  0.0286  0.0276  0.02
Milkina 1970   5  0.6731  0.008  0.0810  0.5030  0.2410  0.35
Mohovich 1999   26  0.5273  0.0045  0.0945  0.0983  0.0349  0.05
Moravec 1969   7  0.6314  0.0117  0.1021  0.3827  0.2213  0.29
Morozova 2008   75  0.1867  0.0047  0.0655  0.0683  0.0263  0.03
Neighaus 1950   47  0.4147  0.0065  0.0367  0.0371  0.0369  0.03
Niedzielski 1931   22  0.5340  0.0033  0.0737  0.2234  0.1718  0.19
Ohlsson 1999   11  0.6027  0.005  0.157  0.5224  0.258  0.36
Osinska 1989   15  0.5649  0.0030  0.1115  0.4459  0.0425  0.13
Pachmann 1927   16  0.5615  0.0120  0.0818  0.4421  0.397  0.41
Paderewski 1930   46  0.4268  0.0057  0.0557  0.0586  0.0262  0.03
Perlemuter 1992   67  0.2954  0.0059  0.0361  0.0369  0.0356  0.03
Pierdomenico 2008   56  0.3586  0.0041  0.0942  0.1871  0.0345  0.07
Poblocka 1999   3  0.693  0.114  0.143  0.5721  0.325  0.43
Rabcewiczowa 1932   61  0.3263  0.0071  0.0458  0.0481  0.0258  0.03
Rachmaninoff 1923   78  0.1388  0.0083  0.0382  0.0385  0.0273  0.02
Rangell 2001   14  0.5844  0.0024  0.0719  0.4445  0.0720  0.18
Richter 1976   29  0.509  0.0223  0.0713  0.4728  0.1614  0.27
Rosen 1989   37  0.477  0.0355  0.0653  0.0666  0.0355  0.04
Rosenthal 1930   60  0.3377  0.0076  0.0380  0.0385  0.0279  0.02
Rosenthal 1931   73  0.2078  0.0082  0.0366  0.0389  0.0177  0.02
Rosenthal 1931b   72  0.2164  0.0081  0.0284  0.0289  0.0188  0.01
Rosenthal 1931c   53  0.3760  0.0073  0.0459  0.0487  0.0272  0.03
Rosenthal 1931d   59  0.3475  0.0056  0.0556  0.0575  0.0268  0.03
Rossi 2007   87  -0.1232  0.0086  0.0288  0.0288  0.0185  0.01
Rubinstein 1939   48  0.4128  0.007  0.1025  0.3016  0.419  0.35
Rubinstein 1952   1  0.731  0.351  0.351  0.615  0.591  0.60
Rubinstein 1966   9  0.6226  0.0026  0.0817  0.4427  0.2712  0.34
Schilhawsky 1960   41  0.4579  0.0044  0.0644  0.1286  0.0248  0.05
Shebanova 2002   2  0.702  0.112  0.292  0.589  0.503  0.54
Smith 1975   65  0.2989  0.0061  0.0368  0.0386  0.0274  0.02
Sokolov 2002   44  0.4217  0.0149  0.0649  0.0666  0.0351  0.04
Sztompka 1959   64  0.3070  0.0067  0.0364  0.0384  0.0275  0.02
Tomsic 1995   19  0.5413  0.0136  0.0727  0.2957  0.0428  0.11
Uninsky 1932   74  0.1935  0.0070  0.0378  0.0376  0.0364  0.03
Uninsky 1971   54  0.378  0.0246  0.0652  0.0650  0.0546  0.05
Wasowski 1980   17  0.5645  0.0018  0.0816  0.4418  0.2711  0.34
Zak 1937   12  0.5918  0.0116  0.086  0.5342  0.1216  0.25
Zak 1951   21  0.5411  0.0121  0.098  0.5244  0.0917  0.22
Random 1   85  -0.0171  0.0078  0.0379  0.0324  0.2739  0.09
Random 2   83  0.0276  0.0072  0.0375  0.0316  0.3129  0.10
Random 3   82  0.0490  0.0085  0.0381  0.0359  0.0466  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).