Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7117  0.0125  0.0718  0.3825  0.3623  0.37
Anderszewski 2003   47  0.6157  0.0063  0.0552  0.0557  0.0477  0.04
Ashkenazy 1981   51  0.6138  0.0051  0.0650  0.0649  0.0573  0.05
Bacha 2000   17  0.7111  0.0113  0.1115  0.452  0.617  0.52
Badura 1965   69  0.5350  0.0064  0.0559  0.0548  0.0672  0.05
Barbosa 1983   80  0.4471  0.0057  0.0469  0.0460  0.0576  0.04
Biret 1990   12  0.7213  0.0115  0.1310  0.524  0.529  0.52
Blet 2003   48  0.6179  0.0068  0.0485  0.0441  0.1158  0.07
Block 1995   32  0.6637  0.0034  0.0830  0.2510  0.4028  0.32
Blumental 1952   75  0.477  0.0253  0.0557  0.0542  0.1159  0.07
Boshniakovich 1969   36  0.6568  0.0036  0.0533  0.2124  0.3334  0.26
Brailowsky 1960   13  0.7241  0.0033  0.1021  0.379  0.5217  0.44
Bunin 1987   83  0.3778  0.0086  0.0473  0.0482  0.0390  0.03
Bunin 1987b   85  0.3791  0.0085  0.0477  0.0482  0.0386  0.03
Chiu 1999   67  0.5381  0.0035  0.0635  0.1921  0.3733  0.27
Cohen 1997   78  0.4562  0.0043  0.0545  0.097  0.4842  0.21
Cortot 1951   63  0.5774  0.0079  0.0471  0.0453  0.0583  0.04
Csalog 1996   46  0.6265  0.0037  0.0541  0.128  0.5137  0.25
Czerny 1949   65  0.5525  0.0044  0.0444  0.0942  0.0853  0.08
Czerny 1990   23  0.7014  0.0123  0.0725  0.3324  0.2930  0.31
Duchoud 2007   62  0.5786  0.0069  0.0484  0.0453  0.0580  0.04
Ezaki 2006   18  0.7153  0.0028  0.0722  0.3432  0.2829  0.31
Falvay 1989   14  0.7235  0.0030  0.0726  0.328  0.5920  0.43
Farrell 1958   26  0.6887  0.0041  0.0737  0.1613  0.3739  0.24
Ferenczy 1958   71  0.5245  0.0083  0.0553  0.0564  0.0479  0.04
Fliere 1977   10  0.7431  0.0012  0.117  0.5424  0.3221  0.42
Fou 1978   6  0.761  0.261  0.253  0.643  0.652  0.64
Francois 1956   37  0.6536  0.0054  0.0567  0.0541  0.1355  0.08
Friedman 1923   87  0.2488  0.0088  0.0387  0.0373  0.0585  0.04
Friedman 1923b   88  0.2485  0.0087  0.0486  0.0473  0.0482  0.04
Friedman 1930   86  0.2964  0.0084  0.0388  0.0371  0.0487  0.03
Garcia 2007   74  0.4982  0.0077  0.0483  0.0450  0.0581  0.04
Garcia 2007b   84  0.3780  0.0078  0.0478  0.0458  0.0584  0.04
Gierzod 1998   24  0.696  0.0214  0.1027  0.3222  0.3526  0.33
Gornostaeva 1994   20  0.7047  0.0032  0.0824  0.3320  0.3824  0.35
Groot 1988   15  0.7159  0.0024  0.0720  0.3825  0.4122  0.39
Harasiewicz 1955   54  0.599  0.0122  0.0723  0.3433  0.2332  0.28
Hatto 1993   79  0.4469  0.0072  0.0479  0.0432  0.1854  0.08
Hatto 1997   76  0.4742  0.0074  0.0565  0.0561  0.0478  0.04
Horowitz 1949   40  0.6448  0.0042  0.0542  0.1218  0.4540  0.23
Indjic 1988   77  0.4651  0.0073  0.0564  0.0540  0.1352  0.08
Kapell 1951   42  0.6315  0.0161  0.0470  0.0473  0.0474  0.04
Kissin 1993   2  0.793  0.132  0.272  0.702  0.731  0.71
Kushner 1989   8  0.7563  0.0016  0.1013  0.4915  0.4614  0.47
Luisada 1991   28  0.674  0.094  0.1714  0.4711  0.4913  0.48
Lushtak 2004   66  0.5440  0.0070  0.0468  0.0479  0.0388  0.03
Malcuzynski 1961   11  0.7443  0.0031  0.0731  0.2410  0.4327  0.32
Magaloff 1978   9  0.7552  0.0021  0.0816  0.417  0.4818  0.44
Magin 1975   39  0.6523  0.0027  0.0729  0.2919  0.3031  0.29
Michalowski 1933   82  0.4072  0.0082  0.0556  0.0559  0.0669  0.05
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   4  0.7612  0.019  0.1211  0.519  0.538  0.52
Moravec 1969   29  0.6721  0.0145  0.0543  0.095  0.5541  0.22
Morozova 2008   55  0.5928  0.0020  0.0732  0.2420  0.2738  0.25
Neighaus 1950   33  0.6649  0.0052  0.0746  0.0747  0.0861  0.07
Niedzielski 1931   64  0.5775  0.0067  0.0480  0.0436  0.1551  0.08
Ohlsson 1999   31  0.6654  0.0026  0.0736  0.1737  0.1744  0.17
Osinska 1989   5  0.7627  0.006  0.144  0.603  0.653  0.62
Pachmann 1927   58  0.5984  0.0065  0.0474  0.0412  0.3849  0.12
Paderewski 1930   50  0.6134  0.0060  0.0472  0.0450  0.0475  0.04
Perlemuter 1992   43  0.6332  0.0050  0.0563  0.0540  0.1156  0.07
Pierdomenico 2008   57  0.5967  0.0039  0.0538  0.1516  0.4336  0.25
Poblocka 1999   38  0.6560  0.0056  0.0558  0.0552  0.0665  0.05
Rabcewiczowa 1932   56  0.5966  0.0058  0.0482  0.0445  0.1062  0.06
Rachmaninoff 1923   60  0.5810  0.0146  0.0551  0.0544  0.1250  0.08
Rangell 2001   21  0.705  0.035  0.1117  0.392  0.5516  0.46
Richter 1976   68  0.5373  0.0076  0.0476  0.0450  0.0667  0.05
Rosen 1989   7  0.7655  0.008  0.118  0.536  0.566  0.54
Rosenthal 1930   59  0.5890  0.0071  0.0481  0.0445  0.0864  0.06
Rosenthal 1931   49  0.6146  0.0047  0.0560  0.059  0.5745  0.17
Rosenthal 1931b   52  0.6033  0.0048  0.0747  0.0710  0.5243  0.19
Rosenthal 1931c   44  0.6226  0.0055  0.0555  0.0516  0.4546  0.15
Rosenthal 1931d   34  0.6529  0.0038  0.0640  0.139  0.5135  0.26
Rossi 2007   81  0.4283  0.0066  0.0562  0.0516  0.3747  0.14
Rubinstein 1939   61  0.578  0.0219  0.0834  0.203  0.5925  0.34
Rubinstein 1952   25  0.6822  0.0118  0.126  0.575  0.624  0.59
Rubinstein 1966   19  0.7120  0.0117  0.1019  0.387  0.6212  0.49
Schilhawsky 1960   70  0.5344  0.0075  0.0648  0.0666  0.0470  0.05
Shebanova 2002   3  0.7724  0.007  0.115  0.5710  0.555  0.56
Smith 1975   35  0.6558  0.0040  0.0639  0.1459  0.0457  0.07
Sokolov 2002   45  0.6230  0.0062  0.0561  0.0547  0.0566  0.05
Sztompka 1959   53  0.5919  0.0159  0.0475  0.0454  0.0668  0.05
Tomsic 1995   22  0.7056  0.0029  0.0728  0.327  0.6119  0.44
Uninsky 1932   73  0.4961  0.0081  0.0554  0.0553  0.0671  0.05
Uninsky 1971   72  0.5239  0.0080  0.0649  0.0647  0.0763  0.06
Wasowski 1980   41  0.6476  0.0049  0.0566  0.0518  0.3148  0.12
Zak 1937   27  0.6816  0.0111  0.1312  0.5111  0.4711  0.49
Zak 1951   30  0.6618  0.0110  0.099  0.5213  0.4315  0.47
Average   1  0.822  0.213  0.331  0.7523  0.3510  0.51
Random 1   91  -0.1189  0.0089  0.0189  0.0113  0.4360  0.07
Random 2   90  -0.1070  0.0091  0.0191  0.0157  0.0491  0.02
Random 3   89  -0.0177  0.0090  0.0190  0.0145  0.0789  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).