Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.3310  0.0117  0.1219  0.4620  0.4913  0.47
Anderszewski 2003   68  0.2573  0.0066  0.0467  0.0429  0.3154  0.11
Ashkenazy 1981   4  0.4811  0.014  0.184  0.7023  0.626  0.66
Bacha 2000   73  0.2357  0.0076  0.0466  0.0452  0.0667  0.05
Badura 1965   50  0.2944  0.0062  0.0465  0.0434  0.2955  0.11
Barbosa 1983   77  0.2141  0.0081  0.0470  0.0483  0.0385  0.03
Biret 1990   83  0.1981  0.0080  0.0552  0.0551  0.0766  0.06
Blet 2003   47  0.3063  0.0046  0.0456  0.0446  0.0965  0.06
Block 1995   21  0.3725  0.0015  0.1218  0.4731  0.4115  0.44
Blumental 1952   32  0.3431  0.0023  0.0724  0.3622  0.5017  0.42
Boshniakovich 1969   87  0.1288  0.0084  0.0286  0.0286  0.0391  0.02
Brailowsky 1960   46  0.3143  0.0052  0.0646  0.0631  0.4040  0.15
Bunin 1987   40  0.3322  0.0044  0.0644  0.1239  0.1745  0.14
Bunin 1987b   35  0.3420  0.0143  0.0641  0.1339  0.1841  0.15
Chiu 1999   11  0.4124  0.0016  0.1515  0.5138  0.2622  0.36
Cohen 1997   56  0.2883  0.0063  0.0457  0.0439  0.2557  0.10
Cortot 1951   72  0.2453  0.0075  0.0477  0.0440  0.2059  0.09
Csalog 1996   70  0.2485  0.0073  0.0468  0.0446  0.0771  0.05
Czerny 1949   12  0.405  0.037  0.186  0.698  0.831  0.76
Czerny 1990   7  0.454  0.076  0.1811  0.5622  0.658  0.60
Duchoud 2007   18  0.3933  0.0022  0.0620  0.4130  0.3519  0.38
Ezaki 2006   52  0.2874  0.0048  0.0548  0.0531  0.3742  0.14
Falvay 1989   10  0.4123  0.0018  0.1016  0.4811  0.4912  0.48
Farrell 1958   31  0.3464  0.0041  0.0739  0.1720  0.4627  0.28
Ferenczy 1958   75  0.2370  0.0079  0.0550  0.0531  0.5837  0.17
Fliere 1977   34  0.3482  0.0049  0.0553  0.0551  0.0762  0.06
Fou 1978   16  0.3929  0.0020  0.1017  0.4730  0.3618  0.41
Francois 1956   38  0.3314  0.0127  0.0631  0.2623  0.5421  0.37
Friedman 1923   53  0.2872  0.0070  0.0380  0.0364  0.0682  0.04
Friedman 1923b   55  0.2879  0.0071  0.0454  0.0460  0.0675  0.05
Friedman 1930   54  0.2889  0.0067  0.0461  0.0460  0.0672  0.05
Garcia 2007   67  0.2658  0.0074  0.0475  0.0454  0.0674  0.05
Garcia 2007b   85  0.1690  0.0061  0.0463  0.0453  0.0776  0.05
Gierzod 1998   82  0.1934  0.0078  0.0472  0.0454  0.0673  0.05
Gornostaeva 1994   62  0.2739  0.0028  0.0640  0.1734  0.3529  0.24
Groot 1988   19  0.396  0.0211  0.1414  0.5232  0.2523  0.36
Harasiewicz 1955   2  0.503  0.082  0.422  0.775  0.674  0.72
Hatto 1993   22  0.3746  0.0021  0.0725  0.3652  0.0936  0.18
Hatto 1997   44  0.3240  0.0035  0.0933  0.2544  0.1335  0.18
Horowitz 1949   28  0.3518  0.0139  0.0736  0.1944  0.1734  0.18
Indjic 1988   33  0.3467  0.0034  0.1029  0.2860  0.0648  0.13
Kapell 1951   41  0.3347  0.0053  0.0551  0.0567  0.0569  0.05
Kissin 1993   23  0.3677  0.0032  0.0828  0.3236  0.4320  0.37
Kushner 1989   17  0.399  0.0125  0.0623  0.3634  0.2825  0.32
Luisada 1991   25  0.3550  0.0040  0.0735  0.2153  0.0751  0.12
Lushtak 2004   76  0.2145  0.0082  0.0382  0.0373  0.0487  0.03
Malcuzynski 1961   39  0.3328  0.0045  0.0545  0.1045  0.1056  0.10
Magaloff 1978   79  0.2075  0.0072  0.0378  0.0362  0.0577  0.04
Magin 1975   63  0.2760  0.0057  0.0464  0.0453  0.0863  0.06
Michalowski 1933   36  0.3436  0.0036  0.0832  0.2541  0.2231  0.23
Milkina 1970   13  0.4026  0.008  0.148  0.655  0.705  0.67
Mohovich 1999   78  0.2076  0.0077  0.0381  0.0367  0.0488  0.03
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   30  0.3548  0.0031  0.0926  0.3337  0.1828  0.24
Neighaus 1950   29  0.3513  0.0112  0.1013  0.5237  0.2324  0.35
Niedzielski 1931   26  0.357  0.0233  0.0930  0.2844  0.1433  0.20
Ohlsson 1999   15  0.3919  0.0114  0.1110  0.5921  0.4211  0.50
Osinska 1989   66  0.2691  0.0065  0.0476  0.0443  0.1161  0.07
Pachmann 1927   84  0.1984  0.0083  0.0384  0.0376  0.0484  0.03
Paderewski 1930   71  0.2454  0.0060  0.0458  0.0449  0.0770  0.05
Perlemuter 1992   69  0.2561  0.0064  0.0379  0.0369  0.0483  0.03
Pierdomenico 2008   45  0.3132  0.0024  0.0734  0.2224  0.3726  0.29
Poblocka 1999   58  0.2851  0.0058  0.0462  0.0447  0.0668  0.05
Rabcewiczowa 1932   74  0.2352  0.0068  0.0474  0.0435  0.2953  0.11
Rachmaninoff 1923   3  0.482  0.093  0.205  0.707  0.743  0.72
Rangell 2001   49  0.3035  0.0059  0.0469  0.0453  0.0581  0.04
Richter 1976   27  0.3565  0.0050  0.0547  0.0551  0.0764  0.06
Rosen 1989   61  0.2717  0.0126  0.0638  0.1843  0.1439  0.16
Rosenthal 1930   14  0.408  0.0219  0.1021  0.3815  0.5614  0.46
Rosenthal 1931   64  0.2737  0.0056  0.0473  0.0430  0.5044  0.14
Rosenthal 1931b   59  0.2880  0.0069  0.0471  0.0431  0.4549  0.13
Rosenthal 1931c   43  0.3378  0.0047  0.0455  0.0424  0.4847  0.14
Rosenthal 1931d   57  0.2868  0.0055  0.0459  0.0420  0.4646  0.14
Rossi 2007   91  -0.0486  0.0090  0.0190  0.0169  0.0490  0.02
Rubinstein 1939   5  0.4812  0.015  0.163  0.762  0.742  0.75
Rubinstein 1952   48  0.3042  0.0042  0.0642  0.1240  0.1450  0.13
Rubinstein 1966   24  0.3621  0.0029  0.0627  0.3337  0.1532  0.22
Schilhawsky 1960   86  0.1555  0.0085  0.0288  0.0253  0.0586  0.03
Shebanova 2002   20  0.3866  0.0030  0.0722  0.3857  0.0838  0.17
Smith 1975   65  0.2615  0.0137  0.0743  0.1225  0.4430  0.23
Sokolov 2002   51  0.2938  0.0051  0.0549  0.0533  0.3052  0.12
Sztompka 1959   8  0.4559  0.009  0.219  0.6519  0.539  0.59
Tomsic 1995   42  0.3316  0.0138  0.0637  0.1942  0.1043  0.14
Uninsky 1932   9  0.4130  0.0013  0.1012  0.5332  0.3316  0.42
Uninsky 1971   60  0.2749  0.0054  0.0460  0.0472  0.0480  0.04
Wasowski 1980   6  0.4627  0.0010  0.147  0.6824  0.557  0.61
Zak 1937   80  0.2069  0.0086  0.0287  0.0251  0.0778  0.04
Zak 1951   81  0.2087  0.0087  0.0383  0.0361  0.0579  0.04
Average   1  0.581  0.511  0.511  0.8627  0.3510  0.55
Random 1   89  0.0071  0.0089  0.0289  0.0221  0.3260  0.08
Random 2   88  0.0856  0.0088  0.0285  0.0213  0.4458  0.09
Random 3   90  -0.0262  0.0091  0.0191  0.0142  0.1189  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).