Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.4861  0.0045  0.0445  0.0886  0.0260  0.04
Anderszewski 2003   37  0.507  0.0042  0.0638  0.1481  0.0340  0.06
Ashkenazy 1981   64  0.3849  0.0043  0.0543  0.1080  0.0346  0.05
Bacha 2000   48  0.4517  0.0026  0.0727  0.2351  0.0521  0.11
Badura 1965   85  0.1822  0.0085  0.0387  0.0388  0.0289  0.02
Barbosa 1983   88  0.1242  0.0055  0.0475  0.0488  0.0270  0.03
Biret 1990   19  0.5515  0.0023  0.0622  0.3183  0.0327  0.10
Blet 2003   54  0.4250  0.0066  0.0563  0.0578  0.0356  0.04
Block 1995   78  0.2726  0.0073  0.0560  0.0588  0.0276  0.03
Blumental 1952   31  0.525  0.0012  0.1413  0.5047  0.0612  0.17
Boshniakovich 1969   63  0.3818  0.0079  0.0383  0.0385  0.0377  0.03
Brailowsky 1960   28  0.5335  0.0021  0.0620  0.3448  0.0516  0.13
Bunin 1987   86  0.1868  0.0088  0.0478  0.0484  0.0278  0.03
Bunin 1987b   87  0.1762  0.0087  0.0386  0.0387  0.0285  0.02
Chiu 1999   82  0.2469  0.0052  0.0472  0.0489  0.0264  0.03
Cohen 1997   79  0.2529  0.0025  0.0633  0.1724  0.2911  0.22
Cortot 1951   44  0.4770  0.0064  0.0651  0.0665  0.0447  0.05
Csalog 1996   32  0.5271  0.0037  0.0639  0.1343  0.1118  0.12
Czerny 1949   47  0.4563  0.0060  0.0474  0.0482  0.0373  0.03
Czerny 1990   13  0.6151  0.009  0.1412  0.5073  0.0319  0.12
Duchoud 2007   71  0.3372  0.0056  0.0479  0.0487  0.0274  0.03
Ezaki 2006   38  0.4952  0.0018  0.1017  0.4279  0.0320  0.11
Falvay 1989   25  0.5373  0.0016  0.1518  0.4122  0.447  0.42
Farrell 1958   52  0.4274  0.0027  0.0923  0.2872  0.0425  0.11
Ferenczy 1958   68  0.3553  0.0074  0.0648  0.0678  0.0358  0.04
Fliere 1977   23  0.549  0.0035  0.0534  0.1777  0.0435  0.08
Fou 1978   50  0.4443  0.0028  0.0628  0.2158  0.0428  0.09
Francois 1956   33  0.5175  0.0040  0.0542  0.1079  0.0348  0.05
Friedman 1923   75  0.3076  0.0078  0.0385  0.0379  0.0384  0.03
Friedman 1923b   76  0.3010  0.0077  0.0477  0.0481  0.0379  0.03
Friedman 1930   66  0.3777  0.0076  0.0473  0.0482  0.0372  0.03
Garcia 2007   40  0.4878  0.0047  0.0553  0.0585  0.0275  0.03
Garcia 2007b   45  0.4679  0.0061  0.0564  0.0584  0.0362  0.04
Gierzod 1998   20  0.5580  0.0041  0.0541  0.1288  0.0244  0.05
Gornostaeva 1994   5  0.6720  0.008  0.189  0.5420  0.289  0.39
Groot 1988   67  0.3636  0.0051  0.0561  0.0586  0.0361  0.04
Harasiewicz 1955   70  0.3437  0.0062  0.0556  0.0588  0.0283  0.03
Hatto 1993   83  0.2323  0.0081  0.0468  0.0488  0.0282  0.03
Hatto 1997   80  0.2527  0.0080  0.0382  0.0388  0.0287  0.02
Horowitz 1949   74  0.3144  0.0083  0.0480  0.0482  0.0365  0.03
Indjic 1988   81  0.2545  0.0082  0.0559  0.0588  0.0269  0.03
Kapell 1951   11  0.6138  0.0031  0.0626  0.2676  0.0329  0.09
Kissin 1993   26  0.5381  0.0024  0.0724  0.2774  0.0332  0.09
Kushner 1989   15  0.5811  0.0033  0.0535  0.1764  0.0437  0.08
Luisada 1991   56  0.4154  0.0046  0.0562  0.0571  0.0449  0.04
Lushtak 2004   72  0.3382  0.0049  0.0647  0.0670  0.0445  0.05
Malcuzynski 1961   21  0.5439  0.0019  0.0831  0.1851  0.0530  0.09
Magaloff 1978   10  0.6212  0.0015  0.1214  0.4832  0.2310  0.33
Magin 1975   16  0.578  0.0020  0.0919  0.3980  0.0324  0.11
Michalowski 1933   35  0.5113  0.0058  0.0466  0.0480  0.0367  0.03
Milkina 1970   7  0.6630  0.0011  0.1311  0.5160  0.0415  0.14
Mohovich 1999   27  0.5383  0.0029  0.0630  0.1983  0.0434  0.09
Moravec 1969   6  0.6740  0.005  0.376  0.597  0.555  0.57
Morozova 2008   61  0.3931  0.0053  0.0471  0.0485  0.0371  0.03
Neighaus 1950   62  0.3964  0.0075  0.0381  0.0382  0.0381  0.03
Niedzielski 1931   24  0.5465  0.0017  0.0916  0.4485  0.0323  0.11
Ohlsson 1999   51  0.4384  0.0059  0.0649  0.0671  0.0441  0.05
Osinska 1989   18  0.5785  0.0032  0.0629  0.2181  0.0336  0.08
Pachmann 1927   46  0.4555  0.0069  0.0554  0.0564  0.0355  0.04
Paderewski 1930   36  0.5056  0.0054  0.0467  0.0486  0.0366  0.03
Perlemuter 1992   53  0.4266  0.0036  0.0537  0.1587  0.0338  0.07
Pierdomenico 2008   73  0.3346  0.0072  0.0476  0.0473  0.0451  0.04
Poblocka 1999   42  0.4786  0.0063  0.0558  0.0577  0.0350  0.04
Rabcewiczowa 1932   8  0.6521  0.006  0.247  0.5815  0.326  0.43
Rachmaninoff 1923   14  0.6019  0.007  0.215  0.5983  0.0317  0.13
Rangell 2001   43  0.4757  0.0057  0.0469  0.0472  0.0380  0.03
Richter 1976   84  0.2058  0.0086  0.0388  0.0388  0.0186  0.02
Rosen 1989   17  0.5767  0.0030  0.0625  0.2784  0.0333  0.09
Rosenthal 1930   4  0.854  0.004  0.614  0.862  0.834  0.84
Rosenthal 1931   1  0.991  0.701  0.702  0.981  0.981  0.98
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.953  0.033  0.873  0.951  0.953  0.95
Rosenthal 1931d   2  0.982  0.252  0.901  0.981  0.982  0.98
Rossi 2007   58  0.416  0.0038  0.0540  0.1346  0.1022  0.11
Rubinstein 1939   39  0.4887  0.0022  0.0621  0.3446  0.0714  0.15
Rubinstein 1952   34  0.5132  0.0013  0.1515  0.4430  0.368  0.40
Rubinstein 1966   49  0.4424  0.0048  0.0652  0.0659  0.0542  0.05
Schilhawsky 1960   57  0.4188  0.0044  0.0444  0.0987  0.0257  0.04
Shebanova 2002   30  0.5241  0.0050  0.0555  0.0587  0.0359  0.04
Smith 1975   9  0.6216  0.0010  0.128  0.5561  0.0413  0.15
Sokolov 2002   29  0.5225  0.0034  0.0536  0.1671  0.0339  0.07
Sztompka 1959   22  0.5459  0.0039  0.0632  0.1864  0.0531  0.09
Tomsic 1995   65  0.3789  0.0068  0.0557  0.0577  0.0354  0.04
Uninsky 1932   59  0.4033  0.0070  0.0746  0.0774  0.0443  0.05
Uninsky 1971   77  0.3060  0.0084  0.0384  0.0387  0.0368  0.03
Wasowski 1980   69  0.3428  0.0071  0.0470  0.0487  0.0263  0.03
Zak 1937   55  0.4247  0.0065  0.0565  0.0576  0.0352  0.04
Zak 1951   60  0.3914  0.0067  0.0650  0.0675  0.0353  0.04
Average   12  0.6148  0.0014  0.1210  0.5284  0.0226  0.10
Random 1   90  -0.2290  0.0090  0.0190  0.0151  0.0490  0.02
Random 2   89  -0.1291  0.0089  0.0289  0.0255  0.0388  0.02
Random 3   91  -0.2434  0.0091  0.0191  0.0176  0.0291  0.01

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).