Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.7612  0.0212  0.099  0.4926  0.3113  0.39
Anderszewski 2003   9  0.7727  0.0014  0.0810  0.497  0.4210  0.45
Ashkenazy 1981   66  0.6054  0.0050  0.0460  0.0459  0.0483  0.04
Bacha 2000   31  0.6813  0.0217  0.0823  0.336  0.4416  0.38
Badura 1965   65  0.6131  0.0077  0.0551  0.0540  0.2053  0.10
Barbosa 1983   84  0.418  0.0318  0.0837  0.1825  0.2237  0.20
Biret 1990   4  0.789  0.026  0.184  0.621  0.692  0.65
Blet 2003   35  0.6742  0.0040  0.0641  0.1526  0.2838  0.20
Block 1995   59  0.6382  0.0033  0.0636  0.1914  0.3134  0.24
Blumental 1952   47  0.654  0.069  0.1226  0.3121  0.2033  0.25
Boshniakovich 1969   38  0.6732  0.0047  0.0549  0.0567  0.0570  0.05
Brailowsky 1960   25  0.7085  0.0059  0.0470  0.0422  0.3151  0.11
Bunin 1987   86  0.3173  0.0087  0.0469  0.0453  0.0672  0.05
Bunin 1987b   87  0.3079  0.0086  0.0462  0.0470  0.0476  0.04
Chiu 1999   75  0.5669  0.0058  0.0372  0.0349  0.0487  0.03
Cohen 1997   85  0.3734  0.0084  0.0466  0.0441  0.1358  0.07
Cortot 1951   54  0.6470  0.0071  0.0377  0.0353  0.0489  0.03
Csalog 1996   76  0.5615  0.0169  0.0379  0.0318  0.3452  0.10
Czerny 1949   46  0.6524  0.0145  0.0745  0.0753  0.0561  0.06
Czerny 1990   10  0.7735  0.0011  0.0912  0.4810  0.458  0.46
Duchoud 2007   81  0.5460  0.0060  0.0373  0.0333  0.1657  0.07
Ezaki 2006   5  0.787  0.044  0.145  0.573  0.585  0.57
Falvay 1989   52  0.6453  0.0075  0.0380  0.0312  0.5249  0.12
Farrell 1958   30  0.6871  0.0021  0.0716  0.4112  0.499  0.45
Ferenczy 1958   73  0.5786  0.0083  0.0456  0.0472  0.0388  0.03
Fliere 1977   18  0.7361  0.0022  0.0725  0.3261  0.0450  0.11
Fou 1978   7  0.776  0.055  0.147  0.563  0.536  0.54
Francois 1956   36  0.6756  0.0061  0.0371  0.0328  0.2556  0.09
Friedman 1923   67  0.6064  0.0072  0.0461  0.0460  0.0586  0.04
Friedman 1923b   69  0.6058  0.0068  0.0376  0.0355  0.0584  0.04
Friedman 1930   68  0.6030  0.0078  0.0387  0.0361  0.0580  0.04
Garcia 2007   34  0.6783  0.0049  0.0554  0.0555  0.0569  0.05
Garcia 2007b   40  0.6680  0.0048  0.0552  0.0555  0.0574  0.05
Gierzod 1998   13  0.7619  0.0110  0.108  0.5026  0.3114  0.39
Gornostaeva 1994   15  0.7444  0.0025  0.0620  0.3813  0.3320  0.35
Groot 1988   57  0.6465  0.0037  0.0533  0.2125  0.3332  0.26
Harasiewicz 1955   16  0.7414  0.0113  0.0913  0.4825  0.3215  0.39
Hatto 1993   82  0.5288  0.0080  0.0548  0.0559  0.0573  0.05
Hatto 1997   80  0.5489  0.0081  0.0550  0.0558  0.0567  0.05
Horowitz 1949   58  0.6472  0.0067  0.0384  0.0354  0.0763  0.05
Indjic 1988   78  0.5429  0.0079  0.0467  0.0455  0.0579  0.04
Kapell 1951   28  0.6938  0.0032  0.0824  0.3353  0.0547  0.13
Kissin 1993   6  0.775  0.067  0.216  0.569  0.507  0.53
Kushner 1989   11  0.7745  0.0026  0.0718  0.4025  0.3318  0.36
Luisada 1991   19  0.7221  0.018  0.1311  0.4921  0.3017  0.38
Lushtak 2004   74  0.5777  0.0062  0.0464  0.0456  0.0481  0.04
Malcuzynski 1961   29  0.6952  0.0034  0.0739  0.1711  0.3930  0.26
Magaloff 1978   23  0.7151  0.0044  0.0644  0.125  0.4435  0.23
Magin 1975   27  0.6937  0.0027  0.0721  0.3430  0.2227  0.27
Michalowski 1933   49  0.6566  0.0074  0.0374  0.0353  0.0578  0.04
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   3  0.821  0.251  0.242  0.631  0.731  0.68
Moravec 1969   63  0.6247  0.0065  0.0375  0.0315  0.4848  0.12
Morozova 2008   45  0.6611  0.0238  0.0534  0.2036  0.1839  0.19
Neighaus 1950   48  0.6536  0.0070  0.0378  0.0356  0.0585  0.04
Niedzielski 1931   70  0.5987  0.0064  0.0385  0.0348  0.0575  0.04
Ohlsson 1999   43  0.6640  0.0046  0.0746  0.0759  0.0560  0.06
Osinska 1989   1  0.832  0.122  0.193  0.621  0.624  0.62
Pachmann 1927   64  0.6174  0.0082  0.0386  0.0344  0.1064  0.05
Paderewski 1930   55  0.6490  0.0076  0.0468  0.0445  0.0577  0.04
Perlemuter 1992   26  0.6955  0.0039  0.0631  0.2140  0.1441  0.17
Pierdomenico 2008   79  0.5450  0.0073  0.0383  0.0330  0.2654  0.09
Poblocka 1999   51  0.6416  0.0154  0.0458  0.0450  0.0662  0.05
Rabcewiczowa 1932   20  0.7284  0.0041  0.0543  0.1426  0.2340  0.18
Rachmaninoff 1923   17  0.7323  0.0115  0.0922  0.3420  0.3322  0.33
Rangell 2001   62  0.6248  0.0030  0.0735  0.192  0.5525  0.32
Richter 1976   83  0.4520  0.0185  0.0553  0.0547  0.0759  0.06
Rosen 1989   2  0.823  0.103  0.281  0.642  0.643  0.64
Rosenthal 1930   56  0.6459  0.0066  0.0382  0.0319  0.2955  0.09
Rosenthal 1931   39  0.6676  0.0053  0.0457  0.049  0.5245  0.14
Rosenthal 1931b   44  0.6628  0.0056  0.0459  0.0410  0.5146  0.14
Rosenthal 1931c   60  0.6310  0.0257  0.0647  0.0610  0.4742  0.17
Rosenthal 1931d   37  0.6746  0.0055  0.0455  0.049  0.5344  0.15
Rossi 2007   22  0.7168  0.0031  0.0729  0.263  0.6012  0.39
Rubinstein 1939   61  0.6339  0.0035  0.0632  0.215  0.5024  0.32
Rubinstein 1952   77  0.5541  0.0043  0.0640  0.168  0.5226  0.29
Rubinstein 1966   41  0.6622  0.0123  0.0930  0.2610  0.4619  0.35
Schilhawsky 1960   71  0.5862  0.0051  0.0463  0.0448  0.0766  0.05
Shebanova 2002   14  0.7543  0.0024  0.0915  0.4141  0.1631  0.26
Smith 1975   21  0.7178  0.0028  0.0727  0.3115  0.3623  0.33
Sokolov 2002   50  0.6426  0.0036  0.0542  0.1523  0.2636  0.20
Sztompka 1959   8  0.7717  0.0116  0.0914  0.4529  0.2621  0.34
Tomsic 1995   53  0.6467  0.0029  0.0728  0.294  0.6411  0.43
Uninsky 1932   42  0.6657  0.0052  0.0465  0.0447  0.0768  0.05
Uninsky 1971   72  0.5718  0.0163  0.0381  0.0348  0.0765  0.05
Wasowski 1980   33  0.6833  0.0042  0.0638  0.1839  0.1243  0.15
Zak 1937   24  0.7025  0.0120  0.0919  0.4033  0.1729  0.26
Zak 1951   32  0.6849  0.0019  0.0917  0.4035  0.1828  0.27
Random 1   90  -0.2063  0.0088  0.0189  0.0134  0.1682  0.04
Random 2   89  -0.1581  0.0090  0.0190  0.0156  0.0490  0.02
Random 3   88  -0.1475  0.0089  0.0188  0.0135  0.2171  0.05

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).